Practical Guide to Adversarial Testing for AI
tom_doerr · x · 2026-07-14
This is a comprehensive guide on adversarial testing and security evaluation for AI systems, aiming to uncover vulnerabilities before attackers can exploit them.
The article revolves around several common security frameworks:
- NIST: Used to establish the basic methodology for security assessments.
- OWASP: Used to identify common web/application-layer risks.
- MITRE: Used to structure threat modeling and classify attack techniques.
Its core value lies in integrating these frameworks into an actionable evaluation process, helping teams conduct red teaming, discover vulnerabilities, and strengthen security before deploying AI systems.
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