AI Threat Modeling & AI TRiSM
3 Weeks | 15 Practical Labs | MAESTRO & NIST AI RMF
Who is this for?
Security professionals, AI/ML professionals, risk and governance teams, and technology professionals involved in assessing and managing security risks across AI systems.
What you’ll learn:
Understand AI architecture, the AI lifecycle, and the Trust, Risk, and Security Management (TRiSM) pillars. Learn how to apply NIST AI RMF and the MAESTRO threat modeling framework to identify and assess AI-specific security risks.
The programme covers data and model poisoning, supply-chain risks, adversarial attacks, model inversion, prompt injection, jailbreaking, RAG vulnerabilities, AI guardrails, privacy risks, AI regulations, and AI incident response. Hands-on labs include AI asset mapping, TRiSM assessment, threat matrices, adversarial testing, LLM red teaming, AI risk registers, compliance audits, and a final AI Governance Board review.
Walk out with skills in:
AI Architecture · AI Lifecycle Mapping · AI TRiSM · NIST AI RMF · MAESTRO Threat Modeling · Data & Model Poisoning · Adversarial AI · LLM Security · RAG Security · AI Guardrails · AI Privacy · AI Risk Assessment · AI Compliance · AI Incident Response