AI model watermarking and provenance validation are key defenses against cloning, tampering, and impersonation. This playbook explains practical methods, tools, and frameworks to verify authenticity and secure your AI ecosystem.
NIST AI RMF
Adversarial Evaluation & AI Red Teaming Pipelines — Operational Playbook for Defense
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.