Why it matters
Tarique Smith’s MIT-licensed guide organizes AI red teaming into threat modeling, black-, gray-, and white-box execution, attack coverage, severity triage, remediation, and regression testing. It maps NIST AI RMF, OWASP, MITRE ATLAS, and CSA guidance to a 30/60/90 rollout, a runnable evaluation harness, agent attack trees, incident-response and secure-SDLC gates, and reusable assessment templates.
My takeaway: Use the guide as a program scaffold, then tailor it to a concrete system and threat model. Start with scoped rules of engagement and crown-jewel assets, turn attack paths into versioned tests with expected outcomes, require reproducible evidence and named remediation owners, run the suite in CI, and revalidate cited frameworks and regulatory claims before treating the living repository as authoritative.