What it does
A continuous AI Dynamic Application Security Testing (DAST) platform. Discovers runtime-only vulnerabilities in AI applications through dynamic testing against live endpoints, similar to how traditional DAST tools test web applications.
Security relevance
Mindgard brings the DAST paradigm to AI security — testing running applications rather than static models. This catches vulnerabilities that only manifest at runtime: prompt injection through specific input combinations, data leakage under load, and denial-of-service through adversarial inputs.
When to use it
Use for continuous security testing of deployed AI applications. The DAST approach complements static analysis tools like Garak. Best suited for teams with established DevSecOps practices who want to add AI testing to their existing pipeline.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 5 in LLM, 2 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: Mindgard slug: mindgard type: Mixed category: AI Red Teaming url: https://mindgard.ai reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [LLM01, LLM02, LLM04, LLM06, LLM09] asi: [ASI01, ASI04] complexity: Guided Setup pricing: — audience: Red Team lifecycle: [test] tags: [DAST, Pentesting, Platform]