Adversarial evaluation turns AI risks into automated tests that run in CI/CD and block unsafe releases. This playbook shows how to design threat-led evals, wire them into pipelines, and align with NIST, OWASP, MITRE ATLAS, and SAIF.
Adversarial ML
Stealth Bias Injection — Operational Playbook for Defense
Stealth bias injection hides subtle, high-impact model bias inside retraining or feedback loops. This playbook explains how these attacks work, realistic scenarios, and practical defenses: provenance controls, subgroup testing, adversarial drills, and gated retraining.