--- title: Detailed RFP Response summary: >- NeuralSeek's response to a detailed RFP — covers LLM-agnostic orchestration, integrations (OpenAI Enterprise, Azure GPT-4.5, Claude, Gemini), policy enforcement, semantic scoring, token tracking, and frontend flexibility (ChatGPT, Copilot, custom web apps, Slack). tags: [features, rfp, integrations, openai, azure, claude, gemini, orchestration] source: Detailed RFP Response.pdf --- NeuralSeek Alignment to Project Scope & Specifications Core Integrations NeuralSeek is an LLM-agnostic orchestration platform that serves as the governance and control layer between any frontend experience (such as ChatGPT, Azure Copilot, custom web applications, or even Does your platform support enterprise messaging platforms like Slack) and backend LLMs including OpenAI Enterprise, Azure-hosted integration with OpenAI GPT-4.5, Claude, Gemini, and others. This flexibility allows organizations to deliver ChatGPT-style or (Enterprise) and Azure other conversational AI experiences through virtually any user interface, while maintaining centralized Copilot? governance and operational control. The platform’s architecture enables seamless model routing, policy enforcement, and semantic scoring regardless of the UI or model in use. NeuralSeek allows AI agents to dynamically interact with multiple LLMs within a single workflow, track token-level usage for cost and performance optimization, and enforce strict guardrails to ensure responsible AI deployment. NeuralSeek integrates, powers, and governs these end-to-end AI experiences across the enterprise, connecting any chosen interface to any underlying model with full security, compliance, and observability. 9 Core Integrations Yes. NeuralSeek supports integration with Salesforce Agentforce through API-based orchestration. Our platform enables agents to read from and write to Salesforce objects, trigger automations, and interact with Can your solution integrate Apex APIs as part of broader Retrieval-Augmented Generation (RAG) or multi-step task workflows. With with Salesforce Agentforce? the ability to integrate, we do have a strong competitive advantage over agentforce (per customer feedback): NeuralSeek was chosen over Agentforce in recent head-to-head evaluations due to several architectural and performance advantages: • Latency & Performance: While Agentforce knowledge queries often exceed 18 seconds, NeuralSeek consistently delivers sub-3 second responses, ensuring a fast, seamless user experience that scales under enterprise load. • Retriever Efficiency: Unlike Agentforce’s slow, two-step retriever (DataCloud → database), NeuralSeek uses direct, high-performance vector and semantic retrieval pipelines, eliminating unnecessary delay and reducing failure points. • Modular Transparency: Agentforce lacks workflow visibility, making customization difficult. In contrast, NeuralSeek provides drag-and-drop orchestration, real-time tracing, and semantic scoring dashboards, giving business and technical users full control over every step of the agent’s behavior. • Agent-to-Agent Collaboration: Agentforce is still struggling with basic agent-to-agent communication and is attempting to redesign this with Google’s support. NeuralSeek, by contrast, has native multi-agent orchestration via ProPacks, allowing for parallelism, decision handoff, and dynamic logic without code. NeuralSeek’s design is faster, more transparent, and significantly more flexible; making it a superior choice for organizations seeking agility, performance, and governance in AI-driven Salesforce integrations. Core Integrations Yes. NeuralSeek supports SSO integration with Okta, Active Directory, and LDAP via SAML 2.0. Role-based access and group-based policy controls are supported. Does your platform support Active Directory (AD)/LDAP and Okta for identity and access management? Core Integrations Yes. AD/LDAP groupings can be used to enforce Guardrail policies, prompt filters, and workflow access by syncing directory groups with NeuralSeek roles or categories. Can your platform reflect ### Bank’s AD/LDAP groupings for prompt policy enforcement? Core Integrations Yes. NeuralSeek supports integration with custom or fine-tuned models hosted on OpenAI, Azure, AWS Bedrock, or any third-party endpoint. This also includes self hosted models. This flexibility enables Can your platform integrate organizations to tailor AI models to their specific needs, enhancing output relevance, accuracy, and domain with custom LLMs or alignment. NeuralSeek also allows agents to toggle between different LLMs to optimize for performance, fine-tuned models hosted on speed, quality, or cost, while supporting model specific orchestration, validation, and fallback logic to Open AI or any other Gen ensure reliable, high quality results across use cases. AI? Core Integrations Yes. In NeuralSeek, the full prompt, response, and all associated metadata can be exported and imported in structured formats, allowing institutions to either use NeuralSeek as the system of record for all AI-driven Do you support API-based interactions or feed this data into other enterprise systems. For banking environments, this capability is integration with third-party particularly valuable for meeting stringent regulatory, audit, and compliance requirements. policy engines or governance tools? The prompt or other By retaining a complete lineage of every AI transaction, including the original input, model routing, applied policies can be exported or guardrails, retrieved source materials, and the final output; banks can demonstrate accountability and imported? transparency to regulators such as the OCC, FINRA, and the CFPB. This audit-ready data can be integrated 10 into core banking systems, case management tools, or compliance platforms to support risk reviews, dispute resolution, and customer service investigations. Furthermore, the ability to import historical interaction data enables financial institutions to train or fine-tune AI agents on domain-specific workflows, ensuring that responses remain accurate, compliant, and aligned with institutional policies. Whether the goal is to preserve records for a mandated retention period, conduct forensic analysis on a disputed interaction, or enrich enterprise data lakes for analytics, NeuralSeek ensures that all AI interactions are captured, portable, and securely managed in accordance with banking industry standards. For the integration with “third-party policy engines or governance tools”, could you share any specific tools you are referring to, or examples that reflect the intended use case? The example is Microsoft Entra (our preference). Another example is SailPoint. If these policies can be access through APIs for the identity flow in future, including Agentic AI (for different departments that introduces new applications with agentic AI capabilities). Policy import/export in formats such as JSON, PAML, YAML, or XML for integration with compliance, risk, or policy automation, in case ### decide to centralize identity governance, including for GenAI and Agentic AI. Access & Permissions Yes. NeuralSeek is a multi-agent, agentic AI platform that organizes and directs responses based on query context, ensuring that every interaction is handled by the most appropriate agent or workflow. Each routing Do you offer automated pathway can be customized with banking-specific rules, regulatory safeguards, internal compliance policy enforcement based on policies, and approved data sources; enabling precise control over how information is retrieved, processed, prompt content and delivered. classification? For financial institutions, this means customer inquiries, internal risk assessments, fraud investigations, and compliance checks can be routed through tailored, policy-aligned AI agents that meet OCC, FINRA, FDIC, and FFIEC requirements. Sensitive processes such as loan underwriting, transaction monitoring, and KYC/AML verifications can be bound to dedicated agents with strict access controls, auditable decision-making, and built-in guardrails to prevent policy breaches. By aligning AI agent routing with banking governance frameworks, NeuralSeek ensures both operational efficiency and regulatory compliance at scale. Access & Permissions Yes. NeuralSeek can enforce real-time access control for Confluence content when used in Generative AI or Agentic AI prompts, ensuring that users can only access and analyze documents they are authorized to Does your platform support view. When Confluence is used as a ground truth source for LLM calls, NeuralSeek can connect to an role-based access to external rules engine, or leverage its own RBAC and data source permission controls, to perform a final, Confluence documents? real-time permissions check before any document is passed to the LLM. If documents are queried directly by AI agents, NeuralSeek supports structuring calls so that the user’s identity, role, and permissions are passed with the query, ensuring responses are generated only from content the user is entitled to access. This approach aligns with ###’s stringent security policies, mitigates unauthorized access risks, and supports licensed tool governance. While ### is not currently using Atlassian Intelligence, NeuralSeek’s architecture allows for future integration if desired, without compromising existing security enforcement. 11 Access & Permissions Yes. NeuralSeek integrates with Confluence through API calls, enabling direct access to documents. It can retrieve and return information from these documents and provide a secure link to the source document, Can users access Confluence supporting user queries or intelligent search. documents through secure links rather than uploads? Access & Permissions NeuralSeek enables administrators in financial institutions to control access to Agentic AI platforms (such as Lattice, Salesforce Einstein, Azure Copilot, and others) based on user roles, prompt content, or Can your platform restrict integration policies, ensuring compliance with strict banking governance and security requirements. or allow access to specific Administrators can configure guardrails to allow or block specific AI platforms depending on the Agentic AI platforms (e.g., sensitivity of the prompt or the permissions associated with the requesting user. Each AI agent can be Lattice Agentic AI)? directed to interact only with approved systems, such as allowing access to AWS Bedrock while blocking non-compliant platforms like Lattice, aligning AI usage with institutional policy and vendor risk frameworks. Access can also be restricted by department or tenant, limiting certain AI endpoints to authorized banking functions such as compliance, risk management, or fraud detection. All access attempts to restricted platforms are fully logged for audit purposes, with optional alerts or human-in-the-loop reviews for exceptions. Through its API, NeuralSeek supports advanced enforcement measures such as token-based access control and endpoint whitelisting or blacklisting, providing banks with secure, compliant, and controlled AI platform connectivity. Access & Permissions NeuralSeek is purpose-built for extensibility across departments, systems, and workflows, enabling organizations to easily expand its capabilities to support internal, third-party, or hybrid agentic AI systems Can the platform be tailored to specific departmental needs. Its modular agent design allows for the creation of extended for the other department-specific agents grouped into collections aligned to distinct business functions (such as Legal, agentic AI for specific Finance, HR, or IT) that can operate independently or collaborate with other agents. Each agent can department or the software integrate with the software ecosystem unique to its department, whether that means connecting to Workday with specific departmental for HR, Salesforce for Sales, ServiceNow for ITSM, or custom in-house platforms. Access to knowledge, purposes? model types, prompt templates, and policies can be restricted or customized by department, ensuring, for example, that the Legal department enforces stricter semantic match thresholds and audit requirements than Marketing. NeuralSeek’s open APIs and webhooks make it possible to integrate with other departmental AI systems like Lattice, Azure Copilot, or Salesforce Einstein while maintaining centralized governance. The platform’s role-based access control (RBAC) and multi-tenancy capabilities enable the creation of isolated environments or tightly controlled access across departments, all managed from a unified administrative interface. Additionally, department-specific dashboards and monitoring tools allow each team to track agent performance, usage, and analytics separately, with full audit trails and system-wide observability. In banking environments, this architecture supports precise segmentation of AI capabilities across critical areas such as compliance, risk management, fraud detection, customer service, and lending operations. By isolating data sources, enforcing department-specific guardrails, and integrating only with approved banking systems, NeuralSeek ensures that each department operates within regulatory guidelines while enabling enterprise-wide coordination, security, and governance. Access & Permissions Yes. NeuralSeek includes role-restrictions on the ability to view or modify prompts in the system. Generally prompt/policy workflow is structured thru tiered environments, so changes are tested in a lower Is there a role-based environment before being approved and migrated up into a production environment. approval workflow for prompt policy changes? 12 Security & Compliance Yes. NeuralSeek fully supports Okta-based Single Sign-On (SSO) and user identity verification using industry-standard protocols, including SAML 2.0 and OpenID Connect (OIDC). The platform integrates Does your platform support seamlessly with Okta Identity Cloud, enabling users to authenticate with their existing enterprise Okta-based SSO and user credentials. In addition to Okta, NeuralSeek’s SAML 2.0 and OIDC support ensures compatibility with a verification? wide range of identity providers, such as Microsoft Entra ID (Azure AD), Ping Identity, and custom IdPs, providing flexibility for diverse enterprise environments. Security & Compliance Prompt Interaction Logs NeuralSeek logs every prompt submitted (whether via user interface, API, or embedded agent) capturing Is there logging and activity key details including user ID and role, timestamp, input prompt, model response, model used (e.g., OpenAI, monitoring for prompt usage Claude, custom endpoint), semantic match percentage, token usage, and latency. This ensures every and model interactions? interaction is traceable and auditable. Model Interaction Tracing The platform records all LLM invocations, allowing teams to monitor model selection, performance metrics, token consumption, and fallback behavior. This visibility enables optimization of cost, efficiency, and accuracy across all AI interactions. Governance Dashboard A centralized, role-based governance dashboard provides real-time monitoring of system performance, semantic confidence trends, guardrail violations, and intent analytics. It also surfaces prompt classification trends, giving administrators a complete picture of how AI is being used throughout the enterprise. Audit Trail Export All logs can be exported in JSON or CSV format and integrated with external SIEM tools such as Splunk via webhook or API. This supports centralized monitoring and correlation with other enterprise security and operational data. Search & Filtering Administrators can filter logs by user, date, intent, or agent, enabling targeted troubleshooting, forensic investigations, or compliance validation. This makes it easy to pinpoint specific interactions or patterns for review. Relevancy for Banking For banking institutions, these capabilities provide the rigorous logging, monitoring, and governance required to meet OCC, FINRA, FDIC, and FFIEC compliance standards. Detailed prompt and model tracking supports regulatory audits, risk management processes, and internal oversight, ensuring all AI activity is transparent, controlled, and defensible. 13 Security & Compliance Live Prompt Activity Feed NeuralSeek’s real-time monitoring dashboard displays incoming prompts and AI responses as they occur, Can you provide real-time including prompt text, user ID or source system, agent used, model invoked (e.g., OpenAI, Claude, monitoring dashboards for LLaMA), semantic match percentage, response latency in milliseconds, confidence scores, and any prompt activity? guardrail triggers. This immediate visibility allows teams to observe AI activity as it happens and quickly detect anomalies or unusual usage patterns. Semantic Insights Panel The Semantic Insights panel provides trend analysis on semantic scoring, allowing organizations to evaluate the quality and relevance of responses over time. It highlights high, low, and average semantic match scores, identifies top-performing intents and agents, and categorizes prompts to reveal usage trends. Governance Dashboard A centralized governance tab offers full visibility into prompt volume by category or department, policy violations, blocked responses, model utilization, token consumption, and performance outliers. This enables authorized users to track KPIs and monitor system health from a single interface. Filtering and Drill-Down Administrators can filter data by date, agent, user, intent, category, or outcome, supporting both high-level reporting and deep forensic investigations. This flexibility allows targeted analysis for compliance, security, and performance tuning. Integration Ready The monitoring dashboard can push data to external systems through webhooks, APIs, or export in CSV/JSON format for integration with enterprise tools such as Splunk, Power BI, or Cognos. This ensures that AI activity data fits seamlessly into existing enterprise monitoring and analytics workflows. Relevancy for Banking In banking environments, this real-time monitoring capability is critical for ensuring compliance with regulatory mandates from bodies such as OCC, FINRA, FDIC, and FFIEC. Banks can use the dashboard to track AI usage by business unit, identify policy violations instantly, monitor model usage for cost control, and maintain an auditable record of all AI interactions; supporting both operational efficiency and stringent regulatory oversight. Security & Compliance Versioned Change Logs NeuralSeek automatically versions and logs every change to model configurations, whether switching from Can you provide audit trails OpenAI to Claude, updating a model endpoint, or modifying model selection logic. This creates a complete for model changes (who, historical record of all configuration adjustments. what, when)? Detailed Metadata Each logged change captures who made the change (user ID and role), what was changed (e.g., model name, API key, fallback order), when it was made (with timestamp and time zone), and where it was applied (specific agent or global settings). This ensures complete traceability across the platform. Rollback Capability Administrators can roll back model configurations to any previous state using version history, minimizing operational risk and enabling safe experimentation with different model setups. Centralized Audit Log Access All model change logs are accessible in the Governance tab, with filtering options by user, date range, and change type, making it easy to review and validate configuration history. Exportable for Compliance Audit logs can be exported in CSV or JSON format for use by auditors, internal IT teams, or external 14 regulators, ensuring smooth compliance reporting. Integration Support Audit events can be forwarded to third-party systems such as Splunk, SIEM tools, or GRC platforms via webhook or API, allowing seamless inclusion in enterprise compliance and monitoring workflows. Security & Compliance Guardrail Violation Alerts NeuralSeek’s Guardrails Framework can automatically trigger alerts in real time when prompts or Are there notification and responses contain PII, profanity, or other sensitive content, fall below a configured semantic confidence alerting capabilities based threshold, trigger prompt injection or attribute protection filters, or violate role-based access policies and on prompt policy violations? department-specific restrictions. Configurable Alert Channels Alerts can be delivered through multiple channels, including email distributions (e.g., compliance@company.com), Slack, Microsoft Teams, webhooks, custom API endpoints, and SIEM platforms such as Splunk, LogRhythm, or Securonix, ensuring they reach the right stakeholders immediately. Severity & Action Mapping Each violation can be tagged by severity level, allowing differentiated responses such as blocking the output, escalating to human review, logging silently for later audit, or notifying the relevant departmental lead or compliance officer. Governance Dashboard Visibility All violations are also displayed in the Governance tab, where authorized users can filter by date, user, intent, category, or action taken, providing a centralized view of compliance-related incidents. Audit Logging of Alerts Every alert is timestamped, fully traceable, and exportable in CSV or JSON, supporting internal reviews and meeting regulatory audit requirements. Relevancy for Banking In banking environments, this capability enables proactive enforcement of OCC, FINRA, FDIC, and FFIEC compliance by ensuring any policy breaches or high-risk AI interactions are immediately detected, properly escalated, and fully documented for regulatory examination. 15 Security & Compliance Semantic & Behavioral Anomalies NeuralSeek’s AI agents continuously monitor for irregularities in AI activity, detecting issues such as Does your platform support unexpected spikes in prompt volume, sudden drops in semantic match confidence, repeated guardrail anomaly detection and violations, use of unapproved prompt intents or agents, and latency or cost outliers in LLM usage. This incident response proactive monitoring helps identify potential misuse, performance degradation, or security risks in real workflows? time. Configurable Thresholds & Alerts Administrators can define custom thresholds (such as more than five failed prompts within one minute or a semantic score falling below 50%) to trigger immediate alerts and automated workflow actions. This flexibility allows organizations to tailor anomaly detection to their operational and compliance requirements. Incident Response Workflow Support Through webhook and API integration, NeuralSeek connects with enterprise ITSM tools like ServiceNow, Jira, PagerDuty, and custom SOAR platforms to initiate ticket creation, escalate issues to security or compliance teams, and even quarantine specific agents or prompts. This ensures rapid and coordinated responses to detected anomalies. Auto-Mitigation Options NeuralSeek can automatically block or pause agent activity, route flagged interactions to a human-in-the-loop review process, or log anomalies for later post-mortem analysis. These capabilities reduce the risk of ongoing impact while ensuring incident containment. Audit & Post-Incident Logging Every anomaly and corresponding response action is logged with complete metadata, supporting root cause analysis, internal reporting, and regulatory compliance documentation. Security & Compliance Yes. NeuralSeek integrates seamlessly with Splunk to share logs through three straightforward methods, making it easy to monitor user activities and system performance. Using the HTTP Event Collector, Is there Splunk integration NeuralSeek can send logs (such as user questions, system responses, and activity details) directly to Splunk for centralized logging? over a secure internet connection. For on-premise deployments, the platform can save logs as files, similar to a spreadsheet of activity records, which Splunk can automatically collect and forward to a central dashboard for review. Additionally, NeuralSeek supports direct API-based connections, allowing Splunk to pull specific logs on demand, giving administrators precise control over which data is shared for monitoring and analysis. 16 Security & Compliance Custom Retention Policies NeuralSeek allows administrators to define tailored retention periods for prompt and response history, Are backup and retention model interaction logs, audit trails, and KnowledgeBase indexing or source content. Retention rules can be policies configurable? scoped by deployment type (SaaS vs. on-premise), user role, or data category, such as PII, financial data, or internal-only content, ensuring alignment with internal governance and compliance mandates. Automated Backups The platform supports automated, scheduled backups of agent configurations, workflows, guardrail and policy settings, KnowledgeBase content, and system metadata or audit logs. These backups can be securely exported or stored in customer-controlled environments, including cloud storage, secure file systems, or on-premise infrastructure. Data Deletion & Archiving NeuralSeek includes built-in tools to delete prompt history and logs manually or automatically after the retention period expires, archive data to external systems for long-term storage or regulatory hold, and anonymize or mask sensitive content prior to retention for privacy compliance. Deployment-Specific Configuration SaaS deployments come with default retention periods that can be customized, while on-premise deployments provide customers with full control over data lifecycle management, from retention to deletion. Compliance Alignment Retention and backup policies can be configured to meet GDPR, HIPAA, SOC 2, and industry-specific regulations through custom policy profiles, ensuring that data governance aligns with both enterprise policies and regulatory requirements. Security & Compliance Yes, NeuralSeek gives administrators complete control over managing prompt history with flexible options for data retention. By default, prompts are deleted after 30 days, but admins can customize this from 1 day Can administrators delete, to 10 years to match company policies or regulations. Admins can manually delete specific logs, remove clean, and archive prompt multiple logs by date or category, or set up automatic deletion rules. For compliance or long-term storage, history? prompt history can be securely archived in NeuralSeek or exported to systems like cloud storage, data lakes, or SIEM tools. This ensures data privacy, compliance with regulations like GDPR or HIPAA, and keeps only necessary data. 17 Security & Compliance Role-Based Access Control (RBAC) NeuralSeek enforces fine-grained user permissions across all Gen AI and agentic AI operations, including How does your platform access to agents, prompt templates, guardrails, knowledge bases, and model configurations. Administrators ensure Gen AI or Agentic can assign roles such as Viewer, Editor, Approver, or Admin, mapped directly to internal identity providers model security (permissions, like Okta, LDAP, or Active Directory, ensuring alignment with existing enterprise identity management audit logs, alerts)? policies. Guardrail Enforcement & Prompt Filtering The platform’s built-in guardrails automatically block or modify prompts and responses to prevent unsafe or non-compliant model usage. Protections include PII detection, prompt injection prevention, semantic confidence thresholds, inappropriate language or category filtering, and enforcement of policy restrictions by user role or department. Audit Logging & Change History Every interaction with a model (from prompt submissions and model invocations to configuration changes) is fully logged with details on who initiated the action (user or API key), what was changed or queried, when it occurred (timestamped), and which agent or model was involved. Logs are tamper-proof, exportable, and suitable for both regulatory and legal audit purposes. Alerting & Notification System NeuralSeek delivers real-time alerts for policy or guardrail violations, anomalous prompt activity such as sudden spikes or misuse, and high-risk behavior or failed model calls. Alerts can be sent via email, Slack, Microsoft Teams, or integrated into SIEM tools like Splunk for centralized monitoring. Deployment Security Options The platform supports on-premise, network-isolated, and SaaS deployments with strict access and encryption controls, including TLS 1.2+ for data in transit, encryption for data at rest, and optional customer-managed encryption keys. Security & Compliance Prompt Content Guardrails NeuralSeek’s Guardrails Framework automatically detects and manages sensitive prompt content, including Does your platform support personally identifiable information (PII), protected health information (PHI), and financial or regulated data privacy policies for entity references. Detected content can be blocked, masked, or rerouted according to organizational prompt content? policies, ensuring compliance with internal governance and external regulations. Data Classification & Filtering Prompts and responses can be tagged with sensitivity labels (such as confidential, internal, or public) and routed through custom workflows or excluded from logs and dashboards based on classification. This supports precise data handling and segregation. Retention Policy Controls Administrators can define custom retention periods for prompt history and audit logs, automatically deleting or archiving content after the designated time frame to minimize unnecessary data exposure. Anonymization & Redaction Prompt content can be anonymized or redacted before it is logged, archived, or shared, preserving privacy while still maintaining analytical value for monitoring and reporting purposes. Access Controls Role-based access control ensures that only authorized users or departments can view prompt content, edit templates, or retrieve prompt history, preventing unauthorized exposure of sensitive information. End-to-End Encryption All prompt content is encrypted both in transit (TLS 1.2+) and at rest. Optional on-premise or private-cloud 18 deployments give organizations full control over data residency and access, supporting enterprise-grade privacy requirements. Security & Compliance Real-Time Prompt Injection Detection NeuralSeek leverages a dedicated Guardrail rule to scan all incoming prompts for known injection patterns, Is secure input validation in manipulation attempts, and adversarial tokens intended to bypass system instructions or alter model place to detect injection or behavior. This proactive check helps stop malicious activity before it reaches the model. malicious inputs? How does your platform handle Injection Risk Classification prompt injection attacks and Prompts are evaluated for attempts to override prior instructions (e.g., “Ignore the above and do X”), use of context leakage? delimiters or encoded instructions, and jailbreak phrasing such as “as an AI, you must…”. Flagged prompts can be blocked, rerouted for human review, or automatically rephrased based on configuration settings. Context Isolation per Session The agentic execution architecture enforces strict session-level context boundaries, ensuring prompt memory is cleared or scoped per interaction. This prevents context bleed or unintended data leakage between users or agents. Role-Aware Prompt Scoping Access to sensitive prompts, documents, or system commands is managed through role-based filters, preventing privilege escalation via prompt engineering techniques. Output Guardrails to Prevent Leakage Even if a malicious input passes initial checks, NeuralSeek applies semantic output validation to block or sanitize responses containing sensitive information, PII or PHI, policy violations, or banned topics. Continuous Monitoring & Alerting All injection attempts are logged and can trigger real-time alerts to administrators or security teams. These logs provide the foundation for incident response, root cause analysis, and regulatory audits. In short, NeuralSeek combines preventive input validation, semantic risk scoring, and post-response filtering to create a robust, multi-layered defense against prompt injection attacks and context leakage. 19 Security & Compliance Semantic Match Scoring Every LLM response in NeuralSeek is evaluated using a Semantic Match percentage, which measures how How is data integrity closely the output aligns with the original source material in the connected KnowledgeBase. This provides maintained (accuracy, a real-time confidence score and flags potential inaccuracies or hallucinations. cleanliness)? KnowledgeBase Confidence & Coverage Metrics NeuralSeek tracks two critical indicators to assess data completeness and relevance: KnowledgeBase Confidence %, which measures how relevant retrieved documents are to the prompt, and Coverage %, which gauges how comprehensive the supporting evidence is. These metrics help identify gaps, outdated information, or insufficient source material. Source-Backed Retrieval-Augmented Generation (RAG) All responses can be traced directly back to their originating sources, ensuring outputs are grounded in validated enterprise content such as Confluence, SharePoint, Salesforce, or internal file systems. This approach minimizes hallucinations and strengthens factual accuracy. Automated Document Cleanliness Tools When ingesting content into the KnowledgeBase, NeuralSeek applies preprocessing techniques including OCR correction, noise and formatting cleanup, HTML/text normalization, and chunking/token optimization. These processes ensure the stored data is clean, consistent, and optimized for AI retrieval. Change Tracking & Version Control All updates to agent logic, prompt templates, and KnowledgeBase content are version-controlled with detailed metadata on who made the change, when it occurred, and what was modified. This maintains integrity and accountability over time. Guardrails & Output Validation Guardrails enforce organizational accuracy thresholds and confidence score requirements. Outputs that fall below these levels can be blocked or rerouted for review, ensuring that only reliable, policy-compliant results are delivered. Security & Compliance Target SLA NeuralSeek’s standard SaaS deployment offers a 99.9% uptime guarantee, excluding scheduled What is your SaaS platform maintenance windows, ensuring continuous service availability for business-critical AI operations. Custom uptime (availability SLAs are available for enterprise and regulated environments that require higher assurance levels. guarantees)? Multi-Cloud Hosting The platform is hosted across multiple major cloud providers, including AWS (primary SaaS environment with multi-availability zone redundancy), Azure (available upon request for Microsoft-centric clients), and IBM Cloud (commonly used for financial services or hybrid enterprise environments). This multi-cloud approach ensures flexibility, resilience, and alignment with client infrastructure preferences. Global Deployment Options NeuralSeek supports regional hosting to meet data residency and latency requirements in jurisdictions such as the US, EU, Canada, Asia-Pacific, and Latin America. This allows organizations to comply with local regulations while optimizing performance for their user base. High Availability Architecture The platform’s architecture is designed for resiliency, featuring load-balanced clusters across multiple availability zones, auto-scaling services to handle unexpected traffic spikes, redundant infrastructure for database, storage, and AI inference layers, and continuous health checks with automated failover mechanisms. Monitoring & Alerting 20 NeuralSeek maintains 24/7 infrastructure monitoring across all environments, with integrated alerting systems tied to DevOps pipelines. This enables proactive incident detection and rapid response to maintain service continuity. Security & Compliance Yes. All data transmitted through NeuralSeek is encrypted in transit using TLS 1.2 or higher, ensuring that sensitive prompt content, model responses, and system interactions remain secure from interception or Is data encrypted in transit? tampering. Security & Compliance Yes. NeuralSeek provides comprehensive DDoS protection as part of its SaaS platform, leveraging the native defense capabilities of its cloud hosting providers, AWS Shield, Azure DDoS Protection, and IBM Do you provide DDoS Cloud Internet Services, depending on deployment. These protections are designed to automatically detect protection? and mitigate large-scale volumetric, protocol, and application-layer attacks. In addition, NeuralSeek implements its own rate limiting, API throttling, and traffic shaping controls to prevent abuse or system overload. The platform supports integration with Web Application Firewalls (WAF) for further inspection and blocking of malicious requests, and uses load balancing with auto-scaling to absorb legitimate traffic spikes without compromising performance. All incoming traffic is monitored in real time, and alerts can be routed to NeuralSeek’s operations team or the client’s security personnel for coordinated incident response. Together, these layers of protection ensure the platform remains stable, secure, and available; even during attempted denial-of-service attacks. Security & Compliance Yes. NeuralSeek maintains a valid SOC 2 Type II certification, underscoring its commitment to security, availability, and confidentiality across all platform operations. The certification covers key Trust Service Do you have a valid SOC 2 Criteria (TSC), including Security, with controls to protect against both physical and logical unauthorized Type II certification? access; Availability, ensuring systems are designed for reliability, resilience, and uptime in accordance with defined SLAs; and Confidentiality, safeguarding sensitive data such as prompt history, user information, and knowledge content through encryption, strict access controls, and comprehensive audit capabilities. Security & Compliance Yes, and we have current SOC-2 certification thru Drata. We have also had a penetration test conducted by the Cybersecurity and Infrastructure Security Agency (CISA) of the U.S. Department of Homeland Was a penetration test Security. This independent security assessment evaluated the target environment’s resilience against conducted in the last 12 real-world cyber threats, using a combination of automated scanning and manual exploitation techniques. months? Scope and Objectives CISA performed a comprehensive review of the system’s security posture, including reconnaissance, vulnerability identification, exploitation attempts, and post-exploitation analysis. The goal was to identify weaknesses that could be leveraged by malicious actors and to assess the system’s overall defensive capabilities. Key Findings The CISA Cyber Hygiene assessment found no vulnerabilities or security risks across the evaluated assets. Specifically: • 0 hosts were running unsupported software. • 0 potentially risky open services were detected, including RDP, Telnet, SMB, FTP, SQL, and others. • 0% of hosts were vulnerable, with no critical, high, medium, or low severity vulnerabilities identified. • All assets (100%) were scanned, and no new vulnerabilities or risks were introduced. • The maximum age of active critical and high vulnerabilities was 0 days, indicating that all findings are addressed immediately upon detection. This clean security profile reflects a strong security posture with no outstanding risks at the time of testing (February 26, 2025), as verified by the U.S. Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency (CISA). Remediation Guidance CISA outlined zero specific corrective actions, including patch management, system hardening, access control improvements, and to keep conducting ongoing monitoring practices. 21 Conclusion The CISA penetration test delivers a clear, authoritative evaluation of the NeuralSeek's security health and provides a practical roadmap for addressing identified risks. This federally conducted assessment underscores our commitment to maintaining a secure, resilient environment aligned with national cybersecurity standards. Security & Compliance Code Security Audit (CerebralBlue dba NeuralSeek, August 2025) Can you share a code testing This Code Security Audit was conducted by Aikido Security on behalf of CerebralBlue dba NeuralSeek to report from the past year? provide transparency and demonstrate secure software development practices from developer workstations through to production infrastructure. The audit is based on real-time monitoring of code and infrastructure, evaluating adherence to security best practices and identifying any potential vulnerabilities. OWASP Top 10 Compliance CerebralBlue maintains active security measures across most OWASP Top 10 risks, including: - Broken Access Control, Cryptographic Failures, Injection, Security Misconfiguration, and Server-Side Request Forgery – fully addressed with robust configuration, encryption enforcement, vulnerability scanning, and preventive measures. - Insecure Design, Vulnerable/Outdated Components, and Identification/Authentication Failures – actively monitored, though not yet fully compliant. - Software/Data Integrity Failures – mitigated via dependency lockfiles, controlled deserialization, and secure code repositories. - Security Logging/Monitoring Failures – mitigated with active email notification systems. Security Scanning & Monitoring CerebralBlue employs continuous security scanning across the following: - Open-source dependencies: 2,484 JavaScript, 90 Java, 25 Go, and 31 Python packages monitored daily. - OSS license compliance: 2,630 monitored weekly. - Static application security testing (SAST), Infrastructure-as-Code scanning, and exposed secret detection are all performed daily. Findings (Past 3 Months) - Open-source dependencies: 77 new findings, with 45 false positives and 9 resolved. - Secrets in source code history: 137 new findings, with 85 resolved. - Static App Security Testing: 141 new findings, with 70 resolved. - Infrastructure-as-Code: 9 new findings, with 1 false positive. - No new findings in container images, cloud configurations, VMs, mobile, malware, access controls, or licenses. Conclusion The Aikido Security audit confirms that CerebralBlue dba NeuralSeek maintains strong foundational security controls, robust monitoring across development and infrastructure, and active remediation processes. While certain OWASP risk areas are still under monitoring rather than fully compliant, the organization demonstrates a mature and proactive security posture suitable for enterprise and regulated environments. 22 Testing & Validation Yes. NeuralSeek includes a built-in policy simulation environment that enables administrators and builders to test prompt scenarios against configured guardrails and policy settings before deploying them into Can you simulate prompt production. scenarios to test policy enforcement before “Try It Out” Sandbox Mode deployment? Accessible from the Governance tab, this mode allows users to submit test prompts and see how guardrails, semantic scoring thresholds, PII filters, and other policies would respond, without affecting live users or production logs. Policy Behavior Preview The simulation clearly indicates whether a prompt would be allowed, blocked, or flagged for review, whether it would trigger semantic confidence failures, violate profanity or attribute tolerance filters, or require routing to a human-in-the-loop (HITL) process. Version-Aware Testing Teams can run simulations against draft or in-review configurations, ensuring that policy and guardrail changes are validated before being applied to production agents. Traceable Testing Logs All simulations are timestamped and can be stored for documentation, training, or internal review, creating a clear record of testing outcomes. Testing & Validation Yes. NeuralSeek provides dedicated sandbox environments that allow organizations to safely test integrations, prompt logic, AI agent workflows, and policy configurations without affecting production data Is there support for sandbox or users. These sandbox instances mirror the full functionality of the production environment (including environments for testing access to Guardrails, KnowledgeBases, multi-agent orchestration, and LLM integrations) enabling thorough integrations and policies? end-to-end testing of custom configurations, external APIs, and data sources. Teams can simulate prompt behavior, validate access controls, and evaluate policy enforcement outcomes in a controlled setting. This ensures that deployments are secure, reliable, and compliant before going live, and provides a safe space for experimentation, onboarding, and continuous improvement. Testing & Validation Yes. NeuralSeek offers automated regression testing capabilities to ensure consistent prompt behavior across different model versions and configurations. When organizations switch or upgrade LLMs (such as Do you offer automated moving from GPT-4 to Claude, LLaMA, or a fine-tuned internal model) NeuralSeek allows teams to rerun regression testing for prompt historical prompts against the new model setup. The platform then compares outputs using semantic match behavior across model scoring, confidence thresholds, and policy compliance to identify any unexpected changes, hallucinations, versions? or drops in response quality. This allows enterprises to validate that new models perform within acceptable bounds before deployment. These tests can be conducted in sandbox environments and logged for audit, review, or regulatory reporting; ensuring safe, reliable model evolution without risking production instability. Operational Scalability NeuralSeek is built for high concurrency and enterprise scalability, capable of supporting thousands of concurrent users and prompt executions in both SaaS and on-premise deployments. In SaaS environments, What is the maximum NeuralSeek runs on auto-scaling containerized infrastructure across AWS, Azure, and IBM Cloud, allowing number of concurrent users it to dynamically handle large volumes of simultaneous prompt traffic across multiple agents and or prompts your platform departments. The backend is designed to scale horizontally; ensuring low-latency responses even during can support (SaaS or traffic spikes or high-throughput events. On-premise)? For on-premise or network-isolated deployments, the platform’s concurrency limits are determined by the customer’s infrastructure capacity. However, NeuralSeek supports multi-node and multi-region clustering, allowing organizations to scale performance as needed based on available compute, network, and storage resources. In real-world production scenarios, NeuralSeek has supported enterprise-scale deployments involving 10,000+ users, with no degradation in performance when properly resourced. Detailed sizing recommendations and performance tuning guidance are provided during implementation based on expected usage patterns. 23 Operational Scalability Yes. NeuralSeek is designed to scale horizontally across regions, business units, and deployment zones, supporting both centralized governance and localized autonomy. Whether deployed in the cloud or Can you scale horizontally on-premise, the platform supports multi-region clustering and multi-tenant architecture, enabling across regions or business enterprises to isolate or share agents, data sources, policies, and infrastructure as needed. units? For global organizations, NeuralSeek can be deployed in multiple geographic regions (e.g., US, EU, APAC) to meet data residency, latency, or compliance requirements. Each regional deployment can be managed independently or connected through federated administration. Across business units, NeuralSeek allows different teams or departments to operate their own AI agents, Guardrails, KnowledgeBases, and prompt policies, while still reporting into a centralized monitoring and governance layer. This structure supports large-scale rollouts where different units require tailored functionality but with enterprise-wide control, auditability, and performance consistency. Operational Scalability Yes. NeuralSeek fully supports multi-tenancy with isolated data, policies, and agent configurations, making it ideal for large enterprises, managed service providers, or any organization that needs to serve multiple Is there support for departments, clients, or environments from a single platform instance. multi-tenancy with isolated data and policies? Each tenant within NeuralSeek can be configured with: - Isolated KnowledgeBases – ensuring no data leakage across tenants - Dedicated AI Agents and ProPacks – customized per use case or department - Independent Guardrails and prompt policies – tailored to unique compliance or operational needs - Role-based access control (RBAC) – enforcing strict permissions by tenant, role, or group - Usage tracking and audit logs scoped to each tenant – enabling full transparency and chargeback reporting Tenants can be deployed as logical partitions within a shared infrastructure or as physically isolated deployments (e.g., across different regions or cloud accounts), depending on your security and regulatory requirements. This multi-tenant architecture enables NeuralSeek to serve multiple teams or clients concurrently, while preserving strict data privacy, governance, and operational independence for each environment. Integration & Yes. NeuralSeek supports integration with Salesforce’s AI-based chat and NLP systems, including Interoperability Salesforce Agentforce and Einstein GPT, through API-based orchestration and direct agent communication. The platform can be embedded into Salesforce workflows to enhance chat experiences with real-time, Does your platform support context-aware responses grounded in enterprise knowledge, integrate with Salesforce Service Cloud or Salesforce’s AI-based Agentforce by reading and writing to Salesforce objects such as Cases, Contacts, and Opportunities, and chat/NLP integration? trigger actions or automations inside Salesforce based on AI-driven intent detection and guardrail-enforced decisions. NeuralSeek can also use Salesforce data as a KnowledgeBase source, enabling AI agents to generate accurate responses using the most up-to-date customer or product information, and embed directly into Salesforce bots or digital experiences to improve self-service outcomes and reduce agent workload. Additionally, Salesforce administrators can configure NeuralSeek workflows to align with existing CRM logic, security roles, and field-level access controls, ensuring seamless interoperability and AI augmentation within the Salesforce ecosystem without compromising governance or performance. 24 Integration & Integration with Enterprise Data Lakes and Warehouses Interoperability NeuralSeek integrates with enterprise data lakes and data warehouses through both built-in connectors and API-based integrations, supporting custom environments as needed. This allows AI agents to retrieve, Can your platform integrate analyze, and generate responses based on real-time structured or unstructured enterprise data. with enterprise data lakes or warehouses? Supported Platforms The platform supports native or API-based access to systems like Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse for real-time querying. It also integrates with cloud data lakes such as Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage, and Hadoop-based systems, as well as relational databases like PostgreSQL, MySQL, Oracle, and SQL Server via direct queries or RESTful API intermediaries. AI Querying and Response Generation AI agents can be configured to query live data, execute parameterized or semantic SQL, and interpret results into natural language responses. If a direct integration is not available, NeuralSeek can connect via custom APIs, webhooks, or middleware to ensure interoperability. Governance and Access Control Role-based guardrails and policy enforcement ensure that AI agents only access approved datasets and adhere to governance frameworks. Different agents can be configured per department or business unit to leverage unique data sources and generate domain-specific insights. Intelligent Data Layer With these capabilities, NeuralSeek serves as an intelligent conversational layer over enterprise data infrastructure, bridging AI-driven interactions with trusted analytics systems via both native connectors and open API integration pathways. Integration & Guardrail-Based URL Filtering Interoperability NeuralSeek’s Guardrails Framework allows administrators to define blacklists or whitelists of URLs and domains, ensuring agents never access or reference content from unauthorized or non-compliant sources Can the platform block during retrieval-augmented generation (RAG) workflows. specific websites or IP addresses from being Input Sanitization & Response Scrubbing accessed or used to generate Prompt inputs containing blacklisted URLs or IP addresses can be automatically blocked, flagged, or prompt responses across the sanitized before reaching the LLM. Similarly, AI-generated responses can be filtered to remove or prevent enterprise? references to banned sources. Custom API-Based Logic For more advanced enforcement, NeuralSeek supports API-based Guardrail extensions, allowing integration with external threat intelligence or compliance feeds. This enables organizations to enforce dynamic, centralized restriction rulesets. LLM Input Routing Control In use cases involving external document scraping or API augmentation, NeuralSeek can restrict which endpoints agents are permitted to query or integrate with, ensuring LLM prompts do not rely on untrusted or unverified third-party data. 25 Integration & URL Blacklisting & Whitelisting via Guardrails Interoperability NeuralSeek’s Guardrails Framework enables administrators to define explicit allowlists or blocklists of URLs, domains, or IP ranges. These rules can be applied at the category, intent, or agent level, providing Can you enforce fine-grained control over what the AI can reference or link to during prompt processing and response blacklist/whitelist rules for generation. websites or IPs used in prompt responses? Prompt & Response Filtering If a prompt contains a blacklisted URL or references a blocked source, NeuralSeek can automatically block, mask, or reroute the interaction. Likewise, if an LLM-generated response includes a link to a prohibited site, the system can scrub, replace, or reject the response in real time. Dynamic Rule Enforcement via API For advanced governance requirements, NeuralSeek can integrate with external security or policy engines via API to dynamically update and enforce blacklist/whitelist rules. This ensures continuous alignment with evolving compliance mandates or threat intelligence feeds. Audit & Monitoring All blacklist and whitelist enforcement actions are fully logged with metadata capturing the violating content, the triggering rule, and the action taken. These logs provide complete transparency and support audit readiness for internal and regulatory reviews. Model Management & Yes. NeuralSeek provides robust support for model versioning, allowing organizations to manage, compare, Transparency and roll back AI model configurations as needed. Administrators can track every change to model settings (including provider, version, endpoint, and fallback logic) through detailed version histories that are fully Can you manage model auditable. When switching between LLM providers (e.g., OpenAI GPT-4, Claude, or fine-tuned internal versioning (e.g., rollback, models), NeuralSeek enables teams to run side-by-side comparisons using historical prompt data, supported comparison)? by semantic match scoring and performance metrics. If a newer model version introduces regressions, administrators can easily roll back to a previous configuration without downtime. This flexibility ensures operational stability, supports testing and continuous improvement, and gives teams the control needed to evolve their model strategy safely within production environments. Model Management & Yes. NeuralSeek provides detailed visibility into model metadata and performance metrics, enabling Transparency organizations to monitor, compare, and evaluate the behavior of different language models used within the platform. While access to the underlying training data depends on the model provider (e.g., OpenAI, Is there visibility into model Claude, LLaMA), NeuralSeek delivers comprehensive operational insights into each model’s real-world metadata (training data, performance. performance metrics)? Semantic Match % Measures how closely a model’s response aligns with the source data, offering a direct indicator of factual accuracy. KnowledgeBase Confidence & Coverage Shows how well retrieved enterprise content supports the model’s answer, highlighting both relevance and completeness. Latency Metrics Tracks average and outlier response times per model and agent, enabling teams to identify performance bottlenecks. Token Usage & Cost Metrics Monitors consumption patterns and provides cost estimates for model usage across different workflows and departments. Prompt History & Model Selection Logs Records which model was used for each interaction, along with any fallback paths taken when a model 26 failed or underperformed. Additionally, NeuralSeek logs all model interactions in a fully auditable format, supporting historical comparisons across versions and configurations. This level of visibility empowers teams to make data-driven decisions about model selection, optimization, and performance tuning; even when the model itself is externally hosted and treated as a black box. Model Management & Yes. NeuralSeek includes multiple features that enhance model explainability and interpretability, enabling Transparency users and administrators to understand why a particular response was generated and how confident the system was in its accuracy. While NeuralSeek functions as a model-agnostic orchestration layer (often Is there support for model treating the LLM as a black box) it overlays semantic and contextual scoring tools that bring transparency explainability or to model behavior. interpretability features? Semantic Match % Measures how closely the model’s response aligns with retrieved enterprise knowledge, providing a quantifiable metric for truth alignment. KnowledgeBase Confidence & Coverage Scores Indicate how well the input prompt is supported by underlying enterprise content, clarifying whether sufficient evidence existed to generate a reliable answer. Semantic Analysis Panel Available in the Governance dashboard, this feature breaks down the factors that influenced the Semantic Match score, making it clear why a response was considered valid or not. Source Referencing Displays the specific knowledge chunks or documents used to generate a response, ensuring traceability and reducing the risk of hallucinations. Prompt/Response Auditing Logs every interaction with metadata on model selection, confidence thresholds, policy enforcement, and fallback paths, offering visibility into system behavior and decision-making logic. Together, these capabilities make NeuralSeek explainable at both the prompt level for business users (and the system level) for technical and compliance teams, bridging the gap between powerful LLMs and trustworthy enterprise AI adoption. 27 Model Management & NeuralSeek introduces a semantic safety layer between the user and the model, ensuring that every LLM Transparency response is validated, scored, and governed before reaching the end user. This approach provides a measurable and enforceable safeguard against hallucinations, compliance risks, and unverified content. Can your platform detect and flag hallucinations or Semantic Match Scoring (Ground Truth Validation) misinformation in Every response from the model is evaluated against content retrieved from NeuralSeek’s responses? enterprise-connected KnowledgeBase. High Semantic Match scores indicate strong alignment with factual content, while low scores signal speculative or unsupported answers. This scoring is objective, based on reality matching rather than token probabilities. Knowledge Coverage and Confidence Metrics NeuralSeek measures whether the system retrieved sufficient and relevant source material (Coverage) and whether that material is trustworthy (Confidence). These indicators assess hallucination risk before it occurs, allowing proactive intervention. Configurable Guardrails for Enforcement Administrators can set precise rules such as rejecting responses below a defined Semantic Match threshold, routing unknown answers to human review, or restricting responses to those sourced from internal systems. This enables governance teams to enforce trust-based standards rather than relying on model guesswork. Traceability NeuralSeek can display exactly which documents or data chunks informed a given response, making it clear when a claim lacks a verifiable source and enabling it to be flagged, blocked, or annotated for transparency. Logging and Alerting for Continuous Oversight All hallucination risks (whether blocked or allowed) are logged with full metadata, exportable for audits, and integrable with compliance dashboards or SIEM tools like Splunk. This continuous monitoring ensures operational transparency and regulatory readiness. Platform Scalability & NeuralSeek provides robust administrative controls to manage and limit resource usage in shared SaaS Configuration environments, ensuring fair access, predictable costs, and system stability. These controls include configurable throttling, usage quotas, and rate-limiting policies that can be tailored to organizational or Can you limit resources for departmental needs. shared SaaS environments (e.g., throttling, quotas)? Rate Limiting allows administrators to cap the number of prompts per user, agent, or organization within a set timeframe (e.g., 100 prompts per hour), helping prevent abuse, overconsumption, or spikes in traffic. Token and Cost Quotas track usage across all connected model providers, enabling quota enforcement by team, department, or tenant, which is critical for accurate cost allocation and governance. Concurrent Execution Limits ensure fair distribution of processing power by restricting the number of prompts running simultaneously, avoiding noisy-neighbor issues in shared infrastructures. When multiple language models are configured, LLM Fallback Throttling can be applied to control how often premium or latency-sensitive models are invoked, preserving performance and cost efficiency. Quota Monitoring and Alerts provide real-time visibility into consumption, with configurable notifications to warn administrators as thresholds are approached or exceeded. Together, these capabilities give organizations granular control over AI usage while maintaining operational fairness and budget predictability. 28 Platform Scalability & Yes. NeuralSeek fully supports the creation and management of custom prompt templates tailored to Configuration specific departments, teams, or use cases. Administrators and authorized users can define structured prompts that guide AI behavior based on the unique needs of each business unit whether it’s Legal, HR, Do you support custom Finance, Customer Support, or Engineering. These templates can include fixed text, variable fields, sliders, prompt templates for dropdowns, and toggles, all of which are exposed to the end user through an intuitive UI or API. Prompt different departments or use templates are tied to specific AI Agents and can be governed using role-based access control, ensuring that cases? only authorized users can modify or use them. Additionally, departments can operate in isolated or shared environments, allowing for independent iteration without impacting other teams. This flexibility enables organizations to safely scale their Gen AI usage while aligning AI outputs with department-specific language, logic, and compliance requirements. Governance, Compliance & NeuralSeek was built with governance at its core, maintaining default governance dashboards that provide a Reporting centralized executive and management view of AI risks. Structured processes align with the framework’s four core functions (Govern, Map, Measure, and Manage) ensuring comprehensive oversight and control. Is your platform aligned with NIST AI Risk In the Govern function, the platform supports default roles for developers, deployers, operators, and Management Framework auditors, enabling appropriate segregation of duties. Centralized baseline policies can be established across (AI RMF)? the enterprise, and a marketplace portal facilitates enterprise-wide collaboration, including sharing best practices, security, compliance, and privacy requirements, training resources, and reusable agents, workflows, and code. For the Map function, NeuralSeek enables complete inventorying of all Agents and Agentic AI workflows. Standard dashboards and reports display each agent’s or workflow’s configuration, including API integrations, usage, and user distribution. Risk levels (such as high, medium, and low) can be assigned to agents and workflows, with templates enforced based on risk. Features also capture use cases, operational context, and stakeholder impacts, all easily integrated into standard dashboards. The platform is built with full data lineage capabilities and includes agents for data quality management. In the Measure function, the platform undergoes rigorous testing and maintains security, privacy, usage, and reliability features by default. These include prompt injection protection and PII filtering, semantic scoring for truth validation and hallucination prevention, confidence gating and token cost tracking, and real-time dashboards for data usage and algorithmic decision documentation. Accountability is reinforced through comprehensive audit trails, system- and decision-level transparency, and natural language, contextual, and technical explainability. Under the Manage function, NeuralSeek maintains full version control and audit trails, automated audit and control agents tailored to specific scenarios and use cases, and continuous monitoring capabilities. For organizations seeking NIST AI RMF compliance, NeuralSeek offers inherent flexibility and customization through AI RMF profiles that align with specific industry requirements, organizational risk tolerance, and regulatory obligations, providing the adaptability needed to meet all industry and regulatory mandates. Governance, Compliance & Yes. NeuralSeek can generate detailed compliance reports to support internal audits, regulatory reviews, Reporting and ongoing governance activities. The platform logs all prompt interactions, model responses, policy enforcement actions, semantic scores, and user access events in a structured, exportable format (JSON or Can your platform generate CSV). These logs can be filtered by user, department, time range, intent, or violation type, making it easy to compliance reports for produce audit-ready documentation on-demand. Additionally, NeuralSeek integrates seamlessly with internal audits or regulatory enterprise analytics tools such as Power BI, IBM Cognos, and other BI platforms via API or scheduled data reviews and integrate with exports, enabling compliance, security, and audit teams to build dashboards, monitor trends, and visualize tools such as Power BI and AI usage and risk across the organization. This ensures that enterprises can maintain continuous oversight Cognos? of their AI deployments while meeting internal controls and external regulatory expectations. 29 Governance, Compliance & Yes. NeuralSeek offers legal hold capabilities for prompt history, allowing organizations to preserve Reporting specific prompt interactions and related metadata in a tamper-proof state for legal, compliance, or investigative purposes. When a legal hold is initiated, the affected prompt records (including input prompts, Do you offer legal hold AI responses, user identifiers, timestamps, semantic scoring, and policy enforcement outcomes) are capabilities for prompt excluded from automated deletion or archiving processes, ensuring they remain intact and accessible for the history? duration of the hold. Legal holds can be applied to individual users, departments, intents, or time ranges, and can be managed through the administrative interface or via API for automated enforcement. Additionally, held data can be exported in secure, audit-ready formats (e.g., CSV, JSON) and integrated into eDiscovery workflows or compliance systems. This capability ensures NeuralSeek aligns with litigation readiness, regulatory auditability, and corporate data governance frameworks, helping enterprises meet their legal obligations with confidence. Governance, Compliance & Yes. NeuralSeek provides comprehensive audit logs that are fully suitable for regulatory submission in Reporting industries such as finance, healthcare, government, and enterprise IT. Every system interaction (whether it’s a user submitting a prompt, an AI agent generating a response, a policy enforcement action, or a Can you provide audit logs configuration change) is immutably logged with timestamped metadata, including user ID, role, IP address, suitable for regulatory semantic match score, model used, and knowledge sources referenced. These logs are exportable in submission? standard formats such as CSV and JSON, making them compatible with most regulatory reporting systems and audit workflows. NeuralSeek’s audit logging also tracks version history of AI Agents, Guardrails, prompt templates, and model configurations, providing full transparency into who made changes, when they were made, and what was modified. For added assurance, audit logs can be streamed into SIEM platforms like Splunk, or accessed via API for automated ingestion into compliance dashboards, eDiscovery tools, or internal audit systems. This level of traceability ensures NeuralSeek meets the stringent documentation and accountability standards required by frameworks such as SOC 2, HIPAA, GDPR, NIST, and FINRA. Security & Privacy Yes. NeuralSeek includes built-in capabilities to detect and mask personal data in both prompts and AI-generated responses, helping organizations meet strict data privacy and compliance requirements such Can your platform mask as GDPR, HIPAA, and CCPA. personal data in prompts and responses? Using its Guardrails Framework, NeuralSeek automatically identifies personally identifiable information (PII) and sensitive data (such as names, addresses, phone numbers, email addresses, Social Security Numbers, and more) within user inputs or LLM responses. Once detected, this information can be configured to be: - Masked (e.g., replacing with symbols like **** or [REDACTED]) - Blocked entirely (preventing further processing) - Routed for human review (in human-in-the-loop workflows) - Logged with obfuscation to preserve analytical context while ensuring privacy These protections apply at both the input and output stages, ensuring sensitive content is never exposed unnecessarily either in logs, audit trails, or downstream applications. Additionally, privacy filters are customizable, so organizations can define what constitutes sensitive content based on their regulatory obligations and internal data governance standards. Security & Privacy Yes. NeuralSeek supports both prompt redaction and data minimization as part of its enterprise-grade privacy and compliance framework. Through its configurable Guardrails, the platform can automatically Is there support for prompt scan and redact sensitive content (such as PII, confidential terms, or user-defined keywords) before prompts redaction or data are processed by the LLM or recorded in logs. This ensures that only the minimum necessary information is minimization? retained or transmitted, reducing exposure risk and aligning with data protection regulations like GDPR and HIPAA. Redaction rules can be applied at multiple levels, including by user role, department, or data category, and can be extended via API for integration with external data classification tools. Additionally, organizations can choose to minimize logged data, disabling storage of raw prompt content while still capturing essential metadata for auditing and performance monitoring. This layered approach to redaction and minimization helps organizations enforce least-privilege principles and ensures AI interactions are privacy-conscious by design. 30 Security & Privacy Yes. NeuralSeek can integrate with external data classification tools to detect and tag sensitive content in both prompts and AI-generated responses, enabling more advanced data governance and privacy Can you integrate with data enforcement. classification tools to tag sensitive content? Through its open API architecture and webhook support, NeuralSeek can route input or output text to external classification engines (such as Microsoft Purview, BigID, Varonis, or custom-built classifiers) for real-time content tagging. Once tagged, NeuralSeek can apply corresponding Guardrail actions, such as redacting sensitive terms, routing the interaction for human review, or blocking it entirely based on policy. In addition to third-party integration, NeuralSeek also includes native content classification features for detecting common categories like PII, PHI, financial data, and regulated keywords. These can be used alone or alongside external classifiers to enrich AI oversight and build layered defense strategies. This capability allows organizations to extend their existing data classification ecosystem into the world of AI ensuring that sensitive or regulated content is handled according to corporate policy, even as it flows through generative models. Ethics & Responsible AI Neuralseek along with its consulting partners have extensive experience building AI governance programs at Banks and maintain policy templates that can be used to build an ethical AI program from scratch. Our Do you offer policy collective knowledge and experience has enabled many financial institutions to quickly stand up AI templates or best practices programs that meet the expectations of all key stakeholders. for ethical AI use? Ethics & Responsible AI NeuralSeek includes built-in mechanisms to validate AI responses for fairness and harmfulness, ensuring that biased, offensive, or unsafe outputs are identified and addressed before reaching end users. Leveraging Does your platform validate its Guardrails Framework, the platform can automatically evaluate responses from language models for response fairness and toxicity, offensive language, bias or discriminatory phrasing, misinformation, unsubstantiated claims, and harmfulness? violations of organizational or regulatory fairness guidelines. This validation process uses real-time semantic classification and risk scoring to assess potential harm or unfairness. When a response is flagged, it can be automatically blocked, rerouted to human-in-the-loop (HITL) review, sanitized or rephrased before delivery, or logged for compliance auditing. NeuralSeek also supports fully customizable fairness policies tailored to organizational values, regional legal requirements, and industry-specific standards; for example, avoiding gendered language in HR-related agents or ensuring neutral, fact-based tone in financial advisory applications. These capabilities help organizations enforce consistent ethical standards and mitigate reputational and regulatory risks. 31 Ethics & Responsible AI NeuralSeek has contributed to Ethical AI Policy Toolkits for clients on a case-by-case basis through its consulting services arm. These toolkits include a customizable AI Acceptable Use Policy (AUP) template, Do you provide bias mitigation guidelines and examples, a Data Protection Impact Assessment (DPIA) worksheet, and documentation or tooling for reference guides aligned to frameworks such as the NIST AI Risk Management Framework, OECD AI ethical AI usage policies? Principles, and emerging regulations like the EU AI Act. Designed to support internal governance teams (legal, risk, compliance, and IT) these materials help codify responsible AI use policies that are both actionable and audit-ready. Complementing these resources, NeuralSeek’s platform provides technical enforcement layers that operationalize ethical policies, including guardrails to block unsafe, biased, or non-compliant content, semantic scoring to validate the truthfulness and tone of AI outputs, prompt injection protection and PII filtering, role-based access controls, content redaction, policy-driven prompt routing, and logging and monitoring dashboards for transparency and continuous oversight. Ethics & Responsible AI NeuralSeek includes multiple built-in mechanisms to route, flag, or pause AI-generated outputs for human review based on configurable criteria. Key capabilities include: Is there support for human-in-the-loop review Confidence Threshold Routing for sensitive prompts? NeuralSeek can automatically flag or withhold responses that fall below a configurable semantic match or confidence score. This ensures that only high-quality, well-grounded answers are released without manual review. Guardrail Triggers The platform detects categories such as Personally Identifiable Information (PII), profanity, or custom prompt injection attempts, routing flagged outputs to a human reviewer before delivery. Workflow Orchestration Using NeuralSeek’s multi-agent framework, organizations can insert human-in-the-loop (HITL) review agents or trigger external API calls (such as Slack alerts, email notifications, or internal ticket creation) at specific decision points. Audit & Traceability All routed interactions are logged with full context, enabling compliance teams to review, validate, and audit outputs as part of governance and regulatory processes. Integration Flexibility HITL checkpoints can be triggered programmatically or manually, and can integrate with existing business tools via API, ensuring seamless fit within enterprise workflows. 32 Lifecycle Security Coverage - The Data Ingestion & Processing Safeguards proposal will document the breadth of safeguards- all types of NeuralSeek uses secure, API-based integrations to connect with customer knowledge bases and Gen AI and Agentic AI content repositories. All data is encrypted in transit and at rest, and undergoes automated filtering and (including, data ingestion to validation to ensure quality and compliance. Customer data is never stored or retained after processing, model training, deployment, and with strict access controls and authentication in place to prevent unauthorized use. retirement. Model Training & Development Models are trained on carefully curated datasets to maintain high accuracy and relevance. NeuralSeek regularly evaluates models for bias, accuracy, and performance drift, documenting all iterations through version control. All development follows responsible AI practices to ensure ethical and compliant outcomes. Deployment Safeguards During operation, NeuralSeek applies real-time accuracy scoring and source attribution to every AI-generated response. Factuality checks and hallucination prevention are built in, supported by automated moderation to filter inappropriate content. Regular security audits and vulnerability assessments help maintain a secure deployment environment. Operational Controls Role-based access control (RBAC) governs user permissions, while all system activity is captured in detailed audit logs. Regular backups and recovery procedures safeguard against data loss, and SOC 2 Type 2 compliance ensures enterprise-grade governance. Continuous system performance monitoring maintains reliability and uptime. Model Retirement When models are deprecated, NeuralSeek follows a structured retirement process, including secure deletion of training data where required. All lifecycle changes are fully documented and communicated to customers in advance. This process ensures transparency and eliminates risks from outdated models. Additional Safety Features NeuralSeek supports human-in-the-loop oversight to review sensitive or high-impact outputs. Administrators can configure content filters, safety parameters, and incident response protocols, which are regularly updated. Ongoing staff training reinforces AI safety, ethics, and evolving best practices. 33 Extendibility to Multiple AI Yes. NeuralSeek is purpose-built to support extensibility across all types of AI Agents and future Agents (or Agentic AI) - Can the Agentic AI architectures, making it a future-proof platform for enterprises looking to scale across tool can be extended for all types multiple AI use cases and models. The platform’s modular, no-code agent framework allows users to of future Agents and whether the create, chain, and orchestrate multiple specialized agents, each with its own logic, model, data source, license supports all types of and policy layer. These agents can be grouped into ProPacks, which enable multi-agent collaboration, Agentic AI and Gen AI? handoff, and decision-making; mirroring real-world workflows across departments or systems. Critically, NeuralSeek is LLM-agnostic and integration-flexible. It supports a wide range of current and emerging models; including OpenAI (GPT), Claude, LLaMA, Gemini, Bedrock, and fine-tuned custom models via API. This ensures that any future agent built on top of a new Gen AI backend can be quickly adopted without vendor lock-in. From a licensing perspective, NeuralSeek’s standard enterprise license supports unlimited agent creation, including support for Agentic AI architectures, task-specific agents, and multi-step decision trees. It also includes the ability to govern these agents with centralized Guardrails, semantic scoring, and audit logging, ensuring control and compliance at scale. SBOM Assurance - The proposal NeuralSeek integrates seamlessly with existing banking knowledge base systems such as Salesforce, will speak to the tool’s ability to ServiceNow, and Zendesk, leveraging secure API connections to eliminate the need for additional inventory, version, and scan plugin or version management. The platform automatically scans and indexes content for AI use third‑party models, data sets, and without storing third-party datasets, ensuring sensitive financial information remains under the bank’s plugins. control. All AI-generated responses are tracked, logged, and linked to their source content for full auditability, supporting regulatory compliance and internal governance. While NeuralSeek utilizes enterprise-grade LLMs, banks are not required to manage or version control these models, reducing operational overhead. This architecture is purpose-built to complement and enhance existing financial systems, enabling advanced AI capabilities without introducing new inventory, versioning burdens, or data residency risks. Runtime Guardrails & Policy Yes. NeuralSeek includes a comprehensive Runtime Guardrails and Policy Enforcement framework, Enforcement - Controls for giving enterprises full control over prompt execution, tool usage, and response generation. This prompt injection, jailbreaks, ensures that all AI activity (whether initiated by users or autonomous agents) remains secure, tool‑use limits, and output policy-compliant, and aligned with governance standards. filtering. Prompt Injection and Jailbreak Protection NeuralSeek proactively detects and blocks prompt injection or jailbreak attempts before they reach the model. This includes detecting override phrases (e.g., “Ignore previous instructions…”), pattern-matching against known adversarial structures, and using semantic evaluation to assess manipulation attempts in context. Administrators can set thresholds to block, reroute, or flag suspicious prompts for human-in-the-loop (HITL) review, ensuring model integrity at runtime. Tool-Use Limits and API Access Control NeuralSeek allows precise control over what tools, APIs, and functions an agent can access. Administrators can enforce role-based or intent-based restrictions, set rate limits, define concurrency caps for high-cost operations, and block unauthorized data access in real time. These safeguards prevent misuse of external systems, protect sensitive integrations, and enforce operational boundaries for AI agent behavior. Output Filtering and Response Sanitization NeuralSeek applies strong output controls to keep responses safe, accurate, and compliant. Capabilities 34 include profanity and toxic language filtering, automatic PII/PHI redaction, semantic match scoring to measure truth alignment, and the ability to block or reroute low-confidence answers. Custom rules can also enforce tone, format, and language restrictions, with options to suppress responses, trigger alerts, or escalate to human review when necessary. RBAC Configurability - NeuralSeek provides comprehensive role-based access control (RBAC) capabilities that allow Administrative access for administrators to manage user permissions and access levels within the system. The administrative role-based access to generate the features include: response (internal data and external resources.) User Role Management: Admin roles with full system access and configuration capabilities Standard user roles with customizable permissions Read-only roles for viewing responses without editing capabilities Access Control Features: Granular permission settings for different functionalities Ability to restrict access to specific data sources and content Control over response generation and editing capabilities User activity monitoring and audit logs Security Measures: Secure authentication protocols Single Sign-On (SSO) integration options Activity logging and tracking Compliance with security standards and protocols Resource Management: Control over internal knowledge base access Management of external resource connections Configuration of AI response parameters Data source permission settings Administrators can easily manage these settings through NeuralSeek's intuitive administrative interface, ensuring proper access control while maintaining security and compliance requirements. 35 Data‑Privacy & Token‑Level Yes. NeuralSeek offers a comprehensive Data Privacy and Token-Level Protection framework that Protection - Pseudonymisation, addresses enterprise-grade privacy requirements, including pseudonymisation, masking, masking, re‑identification risk, re-identification risk mitigation, and data-in-use protection during AI prompt and response handling. data‑in‑use encryption. Pseudonymisation and Masking NeuralSeek can automatically detect and pseudonymize sensitive data (such as names, email addresses, phone numbers, or unique identifiers) in both prompts and model responses. This is done using real-time Guardrails that scan input and output content for PII, PHI, and other regulated data types, replacing them with consistent, non-identifiable tokens (e.g., [USER_ID_123] or ****). This allows teams to preserve context for AI processing while protecting individual identities from exposure. Re-identification Risk Mitigation NeuralSeek includes built-in safeguards to minimize the risk of downstream re-identification. Role-based access controls ensure that only authorized users can view or handle sensitive prompt content, while configurable logging controls allow administrators to redact or omit personal data from histories, audit trails, and reports. In addition, context-aware filtering prevents AI agents from aggregating or inferring identities across multiple prompts or sessions. Together, these measures help organizations meet GDPR, HIPAA, CCPA, and other data protection requirements while reducing the likelihood of unintended identity exposure. Token-Level Data-in-Use Encryption During active processing, all data transmitted through NeuralSeek (whether between user interfaces, AI agents, or LLM endpoints) is encrypted in transit using TLS 1.2+ and, where supported, at the token level through secure API payload handling. For on-premise deployments, organizations can implement zero-trust controls and containerized isolation to further safeguard data-in-use within their infrastructure. Additionally, NeuralSeek does not cache or store prompt data unnecessarily and allows organizations to configure retention policies to automatically delete or anonymize sensitive content after a defined window. Data Retention and Disposal NeuralSeek’s SaaS deployment retains data for 30 days by default, ensuring a balance between Policy Management - Ability to operational visibility and privacy. This retention policy helps minimize long-term storage of sensitive securely retain and dispose data information while still allowing for monitoring, troubleshooting, and compliance review. (at the user level and corporate level) For on-premise deployments, data retention settings are fully configurable, enabling organizations to define storage durations that align with their internal policies, regulatory requirements, or industry-specific standards. This gives customers, particularly in highly regulated sectors like banking, complete control over how long records, logs, and AI interaction data are preserved. 36 Autonomous‑Agent Containment NeuralSeek implements robust agent containment through its Agent Registry system, which provides - Sandboxing and privilege secure sandboxing and well-defined privilege boundaries for agent actions. Key features include: boundaries for agent actions (tools, API calls) Agent Registry Isolation Agents can be grouped into separate Agent Registries that act as isolated sandboxes Each Registry maintains its own permission set and access controls Agents within a Registry can only interact with approved resources and APIs defined for that Registry Privilege Management Granular control over which tools and API calls each Agent Registry can access Ability to restrict agent actions to specific domains and capabilities Clear boundaries between different agent groups through Registry separation Security Controls Agents operate within their designated Registry sandbox with no ability to escape those boundaries API access is strictly controlled through Registry-level permissions Actions are limited to pre-approved tools and capabilities defined for each Registry Compliance & Governance Registry-based isolation enables compliance with security policies Audit trails of agent actions within each sandbox Ability to create separate Registries for different business units or security requirements This containment architecture ensures agents operate safely within defined boundaries while maintaining necessary access to authorized tools and APIs. Continuous Attack Simulation NeuralSeek employs a comprehensive approach to LLM security testing and red teaming through its (LLM Red Team) - Frequency built-in agent scheduler system. The platform conducts regular automated adversarial testing in the and depth of automated following ways: adversarial testing Continuous Security Testing NeuralSeek integrates automated adversarial testing directly into its operational workflow, ensuring constant monitoring for vulnerabilities. This includes real-time exploit detection and ongoing validation without interrupting normal AI operations. Scheduled Deep Scans Daily security scans are executed via the built-in agent scheduler, performing comprehensive, multi-layer tests to identify potential weaknesses. Customers can configure additional ad-hoc scans to meet unique compliance or threat scenarios. Multi-Layer Threat Evaluation Testing covers input validation, prompt injection detection, output filtering, response consistency, model boundary testing, and jailbreak prevention. Automated agents simulate diverse attack vectors to uncover and address risks across both content generation and knowledge retrieval functions. Flexible Configuration & Compliance Alignment Security testing frequency, depth, and scope can be tailored to align with industry-specific requirements, including banking regulations and internal security policies. This flexibility ensures proactive risk management while meeting compliance standards. 37 Comprehensive Logging & Continuous Improvement All testing results are recorded, analyzed, and fed into NeuralSeek’s continuous improvement cycle. This enables rapid remediation, informed governance decisions, and evolving defense strategies against emerging threats. Observability & Explainability - Yes. NeuralSeek provides industry-leading observability and explainability features that give Trace logs, prompt lineage, enterprises full transparency into every AI interaction; enabling traceability, accountability, and attribution of policy violations, real-time governance across agents, models, prompts, and users. This level of insight is critical for explainable risk scoring regulated industries and enterprise deployments where understanding why a decision was made is just as important as the result itself. Full Observability & Explainability NeuralSeek delivers complete transparency into every AI interaction, ensuring traceability, accountability, and governance across agents, models, prompts, and users. This enables regulated industries like banking to validate not just the outcome of AI-driven decisions, but the reasoning and data behind them. Trace Logs & Prompt Lineage Every prompt is logged end-to-end, capturing the original input, user identity, AI Agent or ProPack used, models invoked, source documents retrieved, Guardrail checkpoints, and final outputs. This comprehensive lineage enables rapid troubleshooting, compliance audits, and historical usage reviews. Attribution of Policy Violations All Guardrail enforcement actions are logged with full context, including the violated policy, the enforcement action taken, and the user or system involved. Risk and compliance teams can filter and export violation data by user, intent, agent, or category for precise monitoring and reporting. Explainable Risk Scoring NeuralSeek calculates and displays key trust metrics for each AI response, including Semantic Match %, KnowledgeBase Confidence %, Coverage %, and Guardrail Risk Scores. These insights make it clear why a response was accepted, blocked, or flagged, enabling policy enforcement based on measurable thresholds. Compliance Posture Management NeuralSeek maintains platform-level controls, customizable features, and AI agents that allow - Built‑in control libraries for institutions to meet the most stringent security, privacy, and compliance standards and global SOX, GDPR, PSD2, FINRA, requirements. The platform is designed with flexibility in mind, recognizing that needs vary greatly NYDFS, and OCC bulletins depending on the use case (such as internal versus external deployments or PII versus non-PII data) and is built to adapt to changing requirements and business needs. Organizational and default platform-level controls ensure security and regulatory compliance with standards such as NYDFS and FFIEC, as well as industry expectations. These include the designation of a CISO and DPO, comprehensive policies, standards, and procedures, continuous risk assessments, rigorous third- and fourth-party due diligence, cybersecurity awareness training, vulnerability and penetration testing programs, and SOC 2 certification processes. Platform controls include user access management with role-based access control and Single Sign-On (SSO) capabilities; multi-factor authentication (MFA) with Active Directory, external MFA integration, and zero-trust access controls; unique user identification for each system user; encryption of sensitive data in transit and at rest using industry-standard algorithms; data classification and labeling features across the data lifecycle; secure data disposal; data loss prevention measures; and audit trails with full user and privileged account activity logging and SIEM integration. 38 In alignment with GDPR and other privacy regulations, NeuralSeek offers default and customizable processes and controls such as intelligent legal basis and consent management with dynamic consent flows; automated transparency through privacy notice generation, real-time processing dashboards, and plain-language algorithmic decision documentation; data minimization and purpose control; advanced security features like automated key management, pseudonymization, data masking, and zero-trust access; and comprehensive user rights automation for subject access requests, “right to be forgotten” actions, consent withdrawal, and objection management. For SOX compliance, NeuralSeek emphasizes organizational and technical safeguards that protect data integrity, security, and auditability. This includes annual SOC 2 audits, penetration testing, disaster recovery planning, vendor risk management, robust access controls with automated segregation of duties, encryption protocols, monitoring systems, detailed audit trails, and Records of Processing Activities (ROPA). Software exploitation policies and network protections are in place to mitigate vulnerabilities and ensure continuous compliance. 39 Integration & Deployment Model Yes. NeuralSeek offers a highly flexible integration and deployment model, supporting a range of - SaaS vs. VPC vs. on‑prem; enterprise infrastructure requirements including SaaS, Virtual Private Cloud (VPC), and fully API/SDK maturity; Kubernetes on-premise deployments. This flexibility allows organizations to align AI adoption with their existing & SIEM connectors security, compliance, and data residency strategies whether operating in regulated environments, air-gapped networks, or modern cloud-native stacks. Flexible Deployment Models NeuralSeek supports SaaS, Virtual Private Cloud (VPC), and fully on-premise deployments, enabling organizations to align AI adoption with existing security, compliance, and data residency requirements. Whether operating in regulated banking environments, air-gapped networks, or cloud-native architectures, NeuralSeek ensures secure and scalable integration. SaaS Deployment Hosted in secure, multi-tenant environments on AWS, Azure, or IBM Cloud, the SaaS model includes encryption, tenant isolation, and elastic scaling; ideal for rapid deployment without infrastructure overhead. VPC Deployment For institutions requiring stricter control, NeuralSeek can run in a customer-managed VPC, allowing network isolation while retaining the scalability and reliability of cloud-native infrastructure. On-Premise Deployment For highly regulated industries such as banking and government, NeuralSeek supports complete on-premise deployment, including containerized and Kubernetes-based rollouts, with no reliance on external internet or public APIs. Integration & API/SDK Maturity NeuralSeek provides a robust REST API with capabilities for agent management, prompt execution, Guardrail configuration, analytics, and real-time event streaming. SDKs, CLI tools, and low-code/no-code UI options enable seamless integration into enterprise workflows and DevOps pipelines. Kubernetes & CI/CD Support Built for containerized deployment, NeuralSeek includes native support for Kubernetes, Helm charts, and CI/CD pipelines. This allows for horizontal scaling, multi-region deployments, and easy integration into microservice architectures. SIEM & Security Monitoring Integration NeuralSeek integrates with SIEM platforms such as Splunk, IBM QRadar, and Azure Sentinel, streaming real-time logs of prompt activity, Guardrail triggers, and access events. This enables proactive security monitoring, anomaly detection, and policy enforcement. 40 Performance Overhead & NeuralSeek is optimized for low-latency, high-throughput performance at enterprise scale, adding Scalability - Added latency, minimal overhead while enabling deep control, observability, and policy enforcement across AI throughput ceilings, cost per workflows. The platform is designed to sit between users and LLMs with near real-time processing, million tokens making it suitable for both high-speed chat interfaces and mission-critical automation pipelines. Low-Latency Enterprise Performance NeuralSeek is engineered for near real-time processing, adding only 2–3 seconds of total end-to-end latency. This includes semantic scoring, Guardrail checks, KnowledgeBase retrieval, and model post-processing; making it fast enough for both high-speed chat interfaces and mission-critical automation. Competitive Response Times Unlike orchestration platforms that can exceed 15–20 seconds per knowledge-grounded response, NeuralSeek consistently remains within enterprise SLA thresholds while delivering full observability, risk scoring, and filtering not available in raw LLM calls. High Throughput & Scalability Built for horizontal scalability, NeuralSeek supports SaaS, VPC, and on-premise deployments with auto-scaling Kubernetes infrastructure, multi-node clustering, and multi-region rollout. It has been proven to handle 10,000+ concurrent users and thousands of prompts per minute without bottlenecks. Efficient Cost Management NeuralSeek passes through LLM token costs transparently while providing tools to track usage per prompt, agent, or department, compare model efficiency, and set alerts or limits. Its fine-grained control reduces unnecessary token spend by eliminating retries, hallucinations, and irrelevant outputs. Data Security/Destruction - The SaaS Deployment Vendor will provide a description In NeuralSeek’s SaaS environment, all customer data is automatically deleted by default every 30 of methodology used for days, ensuring minimal data retention and reducing regulatory exposure. For financial institutions electronic and physical data requiring continuous oversight, the platform supports integration with Security Information and Event security and destruction Management (SIEM) systems, enabling real-time monitoring, alerting, and compliance tracking. practices. On-Premise Deployment For on-site or private cloud deployments, the customer maintains 100 percent control over data storage, retention policies, and security configurations. This allows banks to align AI operations with strict internal governance standards, data residency requirements, and regulatory frameworks such as GLBA, FFIEC, and OCC guidelines. 41 NeuralSeek Company Background 1. Company Name(s) Cerebral Blue dba NeuralSeek 2. Company Address 50 Biscayne Blvd, Unit 4902, Miami Florida, 33132 3. Company Contact Information (and preferred Lawrence Patrizio, Partner, lawrence@neuralseek.com, 914-355-8352 method of communication Marc Martina, Co-Founder, marc@neuralseek.com Garrett Rowe, Co-Founder, garrett@neuralseek.com 4. Legal Formation of Company (e.g. sole proprietor, LLC partnership, corporation) 5. Description of Company in terms of size, range and A US Veteran owned business, NeuralSeek is a privately held enterprise AI types of services offered and clientele. software company specializing in no-code AI orchestration, governance, and decision automation for regulated industries. The company serves a global client base across Banking, Financial Services, Healthcare, Telecommunications, Higher Education, and Government sectors, with deployments in over 19 countries. NeuralSeek’s platform enables organizations to rapidly build, deploy, and govern AI agents that integrate seamlessly with existing systems, leveraging Retrieval-Augmented Generation (RAG), semantic confidence scoring, and multi-agent orchestration to deliver accurate, policy-compliant outputs. The company offers both SaaS and on-premise deployment models, with full support for HIPAA, SOC 2, and other regulatory compliance standards. Its client roster ranges from Fortune 100 enterprises to government agencies, all of which require AI solutions that are secure, auditable, and adaptable to complex workflows. NeuralSeek’s services include AI solution design, integration with enterprise systems, governance configuration, and ongoing operational support, empowering clients to safely scale AI adoption while maintaining full control over data, compliance, and business logic. 6. Evidence of established track record for providing 200+ clients over 21+ countries services and/or deliverables that are specific to the subject matter and objective of this proposal. 7. Confirmation that no conflict of interest exists that Confirmed, no conflicts would prohibit your firm from engaging with ######## for this project. 8. Supply a minimum of 3 customer references and Has been provided in the Client Story Section contact information, preferably in the banking / financial industry for whom Company has provided the same or similar consultation. State whether the Company or its parent company (if NeuralSeek has never filed for bankruptcy protection. any) has ever filed for bankruptcy or any form of reorganization under the bankruptcy code. State whether the Bidder or its parent company (if We have never received sanctions. any) has ever received any sanctions or is currently under investigation by any regulatory or governmental body. 46 Confirmation that the Company’s contractual terms Our terms will be in accordance of Section 1.25 and conditions in any resulting agreement between the Vendor and ### in connection with this proposal will be in accordance with the key legal provisions set forth in Section 1.25 above, and if not, detail the Company’s proposed contractual terms and conditions with respect to such specific provisions. Commitment to Diversity NeuralSeek is committed to supporting diversity, equity, and inclusion in all aspects of our operations, including our vendor relationships. While we do not currently maintain a formal Vendor Diversity Program, we actively seek opportunities to work with diverse business enterprises (DBEs) and are willing to align with ### Bank’s goals for inclusion under this contract. We are open to committing to a mutually agreed-upon participation level of DBEs and will provide regular reporting on the use of DBE subcontractors as part of our engagement. Additionally, we welcome and will consider recommendations of potential DBE partners to ensure that our work under this contract reflects the values of diversity, inclusion, and equitable economic opportunity. Sustainability NeuralSeek is committed to conducting business in a manner that supports environmental sustainability and aligns with ### Bank’s goals. We will use commercially reasonable efforts to perform our obligations under this agreement in a way that gives appropriate regard to the protection of the natural environment. We continuously seek to operate in an environmentally sustainable manner, working to improve our business processes to reflect current industry practices and advancements in sustainability. Additionally, we are willing to provide information, upon reasonable request, regarding our sustainability initiatives and activities to ensure transparency and alignment with ### Bank’s environmental objectives. Financials Available upon request. Here is NeuralSeek’s accountant contact information: Robert L. Parker, CPA, Partner Siana Carr O'Connor & Lynam, LLP 1500 E. Lancaster Avenue, Ste 202 Paoli, PA 19301 t. 610-296-4205 www.scolcpa.com 47 Training, Community, & Support NeuralSeek provides a comprehensive suite of integration, training, and post-sales support services designed to ensure successful deployment, adoption, and long-term value realization across global enterprise environments. Our approach emphasizes speed, enablement, and self-sufficiency, backed by dedicated technical and customer success teams, global support channels, and detailed onboarding pathways. Integration & Deployment Support NeuralSeek’s dedicated integration team ensures smooth and secure deployments across SaaS, VPC, and on-premise environments using containerized infrastructure and Kubernetes. Services include instance provisioning, model configuration, knowledge source setup, API integrations with enterprise systems, and custom agent development for unique workflows. Integration Accelerators; prebuilt toolkits for platforms like Salesforce, ServiceNow, SharePoint, and Snowflake, help reduce time-to-value. Training & Enablement Role-based training programs, including Level 1–3 certification tracks, equip builders, administrators, and AI governance professionals with the skills needed for success. Delivery options include instructor-led sessions, on-demand video modules, live office hours, and train-the-trainer programs. Customers also gain access to the NeuralSeek Community Hub and labs.neuralseek.com for sandbox experimentation, supported by a structured 30–60–90 day success plan. Global Support Coverage NeuralSeek provides 24/7 customer support through a global portal and ticketing system, with same-day technical assistance for critical issues. Enterprise clients receive dedicated Technical Account Managers and access to solution engineers specializing in AI agent design, governance compliance, infrastructure scaling, and RAG optimization. Support resources span the US, EMEA, and APAC regions to meet international demand. Enterprise Support Options For organizations with specialized needs, NeuralSeek offers custom SLAs that include onsite engineer dispatch, technical workshops, and white-glove onboarding services. These agreements are designed to meet the highest levels of enterprise service expectations. 48 NeuralSeek Learning Labs https://labs.neuralseek.com/ The NeuralSeek Learning Labs is more than just a training program, it’s an immersive, hands-on gateway into the future of AI deployment. Designed as a self-paced, no-code experience, the program empowers participants to seamlessly connect NeuralSeek with their chosen KnowledgeBase and Virtual Agent, unlocking the platform’s enterprise-grade AI capabilities for precise, scalable, and human-supervised natural language generation. Whether you’re a business leader, solution architect, or innovation strategist, the Learning Labs transform you from a casual user into a confident builder of intelligent, decision-making AI systems. Getting Started The journey begins with an introduction to NeuralSeek and guided setup instructions for AWS, IBM Cloud, or Azure. Even for those new to enterprise AI, the program provides step-by-step direction for free trials, recommended configurations, and best-practice deployment paths tailored to your environment. Seeking Answers In the first challenge, participants learn to master accuracy and trust in AI outputs. This stage covers implementing Semantic Scoring to validate responses, training Virtual Agents for tailored interactions, and applying PII filtering to safeguard sensitive information; all through an intuitive, no-code interface. mAIstro Essentials The second challenge takes a deeper dive into NeuralSeek’s content creation and retrieval capabilities. Participants explore how to integrate with connectors for seamless data access, improve data quality for large language model interactions, and harness the platform’s retrieval features for fast, context-rich results. Mastering mAIstro The final challenge is where participants evolve from user to AI architect. Here, they learn to build and scale custom AI Agents with the Auto-Builder, design enterprise-ready performance workflows, and orchestrate multi-agent logic for dynamic decision-making at scale. By the end of the Learning Labs, participants experience NeuralSeek’s philosophy of speed, security, and simplicity in action. They emerge with not only a fully functional NeuralSeek deployment but also the skills and confidence to innovate faster, eliminate operational bottlenecks, and deliver transformative AI solutions; all without writing a single line of code. Completion of the program earns the NeuralSeek Certification, an official recognition of mastery over one of the most advanced AI platforms available today. 49 NeuralSeek Documentation https://documentation.neuralseek.com/ NeuralSeek’s online documentation is a comprehensive, enterprise-grade resource designed to guide users through every stage of deployment, integration, and optimization. It offers robust coverage of platform features, no-code tools, governance controls, integrations, and advanced AI agent orchestration, ensuring both technical and non-technical users can maximize value. The documentation is structured for clarity, with detailed guides, walkthroughs, and configuration instructions that support rapid learning and scalable implementation. Here is everything available online: Getting Started Integrations Introduction and onboarding into NeuralSeek. ● AWS S3 ● Databases Explore the Interface ● GitHub ● Home ● Google Drive ● Configure ● Jira ● KnowledgeBases Integrate ● SharePoint ● Platform Integrations ● Slack ● KnowledgeBases ● Trello ● Supported LLMs ● Watsonx.governance ● Supported Virtual Agents ● Web Searches Extract - pulling data into NeuralSeek. Guides & Walkthroughs ● Data Load - data ingestion and preparation. ● Proposals ● Tuning Guide mAIstro ● Dynamic Filters ● NTL Functions ● VirtualKB ● Get Data ● Document Ingestion ● Upload Data ● Replay ● Generate Data ● Integration ● Local Cache ● Chat SDK ● Extract Data ● Training Virtual Agents ● Multi-Agent ● Backup and Restore ● Control Flow ● ElasticSearch Vector Model ● RAG Tools ● Pinecone Configuration ● GuardRails ● Passing Conversational Context ● System Variables ● mAIstro Streaming Endpoint with Watsonx ● Sandboxes ● Implementing Feedback ● Models Modify Data ● Multimodal LLM Configuration ● Code Toolbox ● Semantic Model Tuning ● JSON Toolbox ● String Toolbox More About NeuralSeek ● Transform ● NeuralSeek Partnerships ● XML Toolbox ● Available NeuralSeek Plans ● Data Security and Privacy Send Data - data output workflows. Curate - managing and refining content or datasets for Chat Seek - search and retrieval functions. Governance- AI governance and compliance controls. Chat - conversational interface capabilities. Changelog - updates to the platform 51 NeuralSeek Community https://community.neuralseek.com/ The NeuralSeek Community is an interactive hub where users can stay informed, share ideas, and get support. It includes Announcements for news and updates, Feature Requests for suggesting improvements, General Discussion for open conversations and tips, and Product Q/A Discussion with verified answers and official resources to ensure accuracy. This space fosters collaboration, knowledge sharing, and engagement among NeuralSeek users. NeuralSeek Cohort Training & Certification Program -NeuralSeek offers a comprehensive AI Reskill and Internship Program designed to produce NeuralSeek Certified AI Agent Builders; a vetted talent pool available for hire by NeuralSeek clients. Each cohort attracts significant interest, with 700+ applications from both students and experienced professionals seeking to pivot into AI, reflecting the strong market demand for AI skill development. The program provides participants with a structured, multi-stage curriculum: ● AI Agent Foundations – Establishes core understanding of AI Agents and hands-on proficiency with NeuralSeek’s platform. ● Agentic AI for Business – Applies AI Agent capabilities to real-world enterprise use cases, enabling participants to design impactful business solutions. ● Multi-Tier AI Agent Architecture – Develops advanced skills in designing, deploying, and managing multi-agent systems at scale. Many participants enter the program with an entrepreneurial vision, aiming to build solutions on top of NeuralSeek’s technology. Graduates emerge with proven technical expertise, practical experience, and an understanding of enterprise-grade AI deployments; making them immediately valuable to organizations seeking to accelerate AI adoption. This program not only advances AI education but also creates a direct talent pipeline for NeuralSeek clients, ensuring access to certified professionals capable of delivering high-quality AI solutions from day one. 52 General Pricing Information https://neuralseek.com/pricing NeuralSeek offers flexible pricing models: Cloud SaaS and Containerized (On-Premise or Private Cloud) Licensing. The Cloud SaaS model is usage-based, with fees charged per instance hour plus a per-Seek rate, varying by provider (AWS, IBM, Azure) and whether the customer brings their own LLM or uses one provided. The Containerized model typically involves a one-time upfront perpetual license fee for unlimited usage rights, plus an annual Support and Maintenance (S&M) fee starting at 20% of the license cost, increasing by 5% each year. We do offer a special containerized subscription license to only select clients. No standard incentive or penalty fees are listed. Professional services, if required for implementation or customization, are billed separately per Statement of Work. Discounts may be available for enterprise-wide or multi-year agreements. If travel is required, Travel & Expenses are billed at cost. All models include software updates, patches, and technical support under the applicable support arrangement. We maintain our pricing publicly for SaaS and deliver custom pricing for Enterprise wide licensing. 58