# Mindgard

**Canonical:** https://apis.io/providers/mindgard/  
**Website:** https://mindgard.ai  
**APIs profiled:** 0

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.

## Kin Score — 9.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 9.5).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 19.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Mindgard Domain Security** — TLSv1.3 · HSTS · DMARC

## 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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/mindgard/). Scores are computed from the provider's own public artifacts under a published rubric.