aid: lakera url: https://raw.githubusercontent.com/api-evangelist/lakera/refs/heads/main/apis.yml name: Lakera type: Index image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg tags: - AI Security - LLM Security - Prompt Injection - Guardrails - Red Teaming - GenAI - API description: Lakera is an AI security company building runtime defenses for generative AI applications. Its flagship Lakera Guard API screens prompts and responses for prompt injection, jailbreaks, PII leakage, unsafe content, and policy violations, while Lakera Red provides automated red teaming and risk assessment for GenAI systems. Lakera follows an API-first architecture with a managed SaaS platform, regional endpoints, self-hosted deployments for regulated environments, and a free Gandalf training game that has driven much of the prompt injection research community. created: '2026-05-23' modified: '2026-05-23' specificationVersion: '0.19' apis: - aid: lakera:lakera-guard name: Lakera Guard tags: - AI Security - Prompt Injection - PII Detection - Content Moderation - LLM Guardrails humanURL: https://docs.lakera.ai/docs/api properties: - url: https://docs.lakera.ai/docs/api type: APIReference - url: https://docs.lakera.ai/docs/quickstart type: GettingStarted - url: https://platform.lakera.ai/docs/changelog type: ChangeLog description: Lakera Guard is a low-latency screening API that inspects text content sent to or from LLMs and flags threats including prompt injection, jailbreaks, PII, profanity, and policy violations. The /guard endpoint returns a flagged decision plus optional detector breakdowns via /guard/results, and the platform exposes /policies and /projects endpoints for managing detection logic. Available as a managed SaaS at api.lakera.ai/v2 with regional endpoints (US, EU, APAC) and as a self-hosted deployment for regulated environments. - aid: lakera:lakera-red name: Lakera Red tags: - Red Teaming - AI Security - Vulnerability Assessment - GenAI Testing humanURL: https://www.lakera.ai/ai-red-teaming properties: - url: https://www.lakera.ai/ai-red-teaming type: Documentation description: Lakera Red is an automated red teaming product that probes GenAI applications for jailbreaks, prompt injection, data leakage, and other adversarial failures, then produces a risk-based remediation report. Designed for security teams evaluating AI applications prior to production deployment and for ongoing assurance of agentic systems. - aid: lakera:gandalf name: Gandalf tags: - Education - Prompt Injection - Training - Research humanURL: https://gandalf.lakera.ai/ properties: - url: https://gandalf.lakera.ai/ type: Documentation description: Gandalf is Lakera's free interactive game that teaches prompt injection by challenging players to extract a secret from an LLM across progressively harder defenses. It has become a primary research and training environment for the prompt injection community and a public funnel into the Lakera Guard ecosystem. common: - type: Website url: https://www.lakera.ai/ - type: Documentation url: https://docs.lakera.ai/ - type: APIReference url: https://docs.lakera.ai/docs/api - type: GettingStarted url: https://docs.lakera.ai/docs/quickstart - type: ChangeLog url: https://platform.lakera.ai/docs/changelog - type: Blog url: https://www.lakera.ai/blog - type: Pricing url: https://www.lakera.ai/pricing - type: Login url: https://platform.lakera.ai/login - type: SignUp url: https://platform.lakera.ai/ - type: GitHubOrganization url: https://github.com/lakeraai - type: LinkedIn url: https://www.linkedin.com/company/lakeraai/ - type: Events url: https://www.lakera.ai/events - type: Game url: https://gandalf.lakera.ai/ - type: Features data: - name: Prompt Injection Detection description: Detects direct and indirect prompt injection attempts targeting LLM-powered applications and agents. - name: Jailbreak Detection description: Identifies attempts to bypass system prompts, safety policies, and model guardrails. - name: PII Detection description: Screens prompts and responses for personally identifiable information leakage. - name: Content Moderation description: Flags unsafe, toxic, or policy-violating content in user inputs and model outputs. - name: Custom Policies description: Configurable detection policies scoped to projects, models, and use cases. - name: Regional Endpoints description: Hosted endpoints in US, EU, and APAC regions for data residency and latency. - name: Self-Hosted Deployment description: On-premises and VPC deployments for regulated industries that cannot send data to a SaaS. - name: MCP Server description: Model Context Protocol server for embedding Lakera Guard into AI clients like Claude Code and Cursor. - type: UseCases data: - name: LLM Application Guardrails description: Screen inputs and outputs of chatbots, copilots, and RAG applications for prompt injection and unsafe content. - name: AI Agent Protection description: Inspect tool inputs, retrieved context, and agent reasoning steps for indirect prompt injection. - name: Workforce AI Security description: Govern employee use of public LLMs and prevent sensitive data exfiltration. - name: GenAI Red Teaming description: Run automated adversarial assessments against pre-production GenAI applications. - name: Regulated Industry Deployments description: Self-host Guard in financial services, healthcare, and government environments with strict data residency. - type: Integrations data: - name: OpenAI description: Wrap OpenAI calls with Guard screening for input and output safety. - name: Anthropic description: Screen prompts and responses from Anthropic Claude models. - name: LangChain description: Drop-in callbacks and chains for integrating Guard into LangChain applications. - name: LlamaIndex description: Screen queries and retrieved context in LlamaIndex RAG pipelines. - name: Model Context Protocol description: MCP server for surfacing Lakera Guard inside Claude Code, Cursor, and other MCP clients. - name: Kubernetes description: Self-hosted Helm-based deployments with health, readiness, and liveness probes. - type: LLMsTxt url: https://docs.lakera.ai/llms.txt maintainers: - FN: Kin Lane email: kin@apievangelist.com