aid: mindgard name: Mindgard description: >- Mindgard is a UK-based offensive AI security company (London/Lancaster, spun out of Lancaster University) that provides an automated AI red-teaming and security testing platform for large language models, AI agents, and generative AI systems. Mindgard's platform combines AI Discovery and Recon (mapping the AI attack surface and shadow AI usage), continuous AI Red Teaming against evolving attacker techniques, AI Assessment, AI Runtime Protection, and Model Scanning, backed by a research-led attack library covering jailbreaks (ActorAttack, Crescendo, EvilConfidant, PersonGPT, DevModeV2, AsciiArtAttack, AntiGPT), prompt-injection techniques (Ascii85, AnsiEscaped, AnsiRaw and others), and policy/violation testing (MaliciousGeneration, PromptAlignment). Developers and security teams integrate Mindgard via a public REST API (projects, tests, multi-turn tests, datasets, findings, reconnaissance), a Python CLI (`pip install mindgard`), a Python SDK, a Burp Suite extension, and a GitHub Action for adding red-team checks to MLOps pipelines. The company also maintains and contributes to open-source security tooling including PyRIT integrations, an OpenAI-compatible LLM-Guard proxy, a chatbot API wrapper for testing web chatbots, and proof-of-concept vulnerability demonstrations (document RCE in LangChain agents, hidden audio jailbreaks, prompt-jailbreak demos). Mindgard's commercial model is enterprise SaaS with platform and services tiers; pricing is gated behind a sales conversation, and the platform is positioned for security, AppSec, and AI governance teams testing customer-facing or internally deployed AI systems. type: Index position: Provider access: 3rd-Party image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg tags: - AI Security - AI Red Teaming - LLM Security - Generative AI Security - Prompt Injection - Jailbreak Testing - AI Discovery - AI Runtime Protection - Model Scanning - AI Governance - Offensive Security - MLOps url: https://raw.githubusercontent.com/api-evangelist/mindgard/refs/heads/main/apis.yml created: '2026-05-25' modified: '2026-05-25' specificationVersion: '0.20' apis: [] common: - type: DomainSecurity url: security/mindgard-domain-security.yml - type: Website url: https://mindgard.ai - type: Platform url: https://mindgard.ai/platform - type: Documentation url: https://docs.mindgard.ai - type: APIReference url: https://docs.mindgard.ai/api-reference/projects/list-projects - type: CLIReference url: https://docs.mindgard.ai/user-guide/cli-reference - type: PythonSDK url: https://docs.mindgard.ai/user-guide/python-sdk - type: AttackLibrary url: https://docs.mindgard.ai/attack-library/jailbreaks/overview - type: RemediationLibrary url: https://docs.mindgard.ai/remediation-library/anonymization-of-data - type: WorkflowIntegrations url: https://docs.mindgard.ai/user-guide/workflow-integrations - type: EnterpriseSetup url: https://docs.mindgard.ai/user-guide/enterprise-setup - type: GitHub url: https://github.com/Mindgard - type: PyPI url: https://pypi.org/project/mindgard/ - type: BurpExtension url: https://github.com/Mindgard/mindgard-burp-extension - type: GitHubAction url: https://github.com/Mindgard/mindgard-github-action-example - type: Research url: https://mindgard.ai/blog - type: Customers url: https://mindgard.ai/customers - type: Disclosures url: https://mindgard.ai/disclosures - type: Services url: https://mindgard.ai/services - type: AIAcademy url: https://mindgard.ai/ai-academy - type: Careers url: https://mindgard.ai/careers - type: Contact url: https://mindgard.ai/contact - type: About url: https://mindgard.ai/about - type: LinkedIn url: https://www.linkedin.com/company/mindgard - type: Twitter url: https://twitter.com/mindgardai - type: Blog url: https://mindgard.ai/blog maintainers: - FN: Kin Lane email: kin@apievangelist.com