Reorient Your Thinking to Tackle AI Security Risks

This advisory outlines the expanding risk landscape introduced by enterprise AI adoption, emphasizing shadow AI, adversarial ML (deepfakes, data poisoning, model extraction/inversion, evasion), operational failures (hallucinations, data leakage, bias), and legal/compliance exposure. It highlights third‑party and supply‑chain dependencies, the prevalence of ungoverned AI usage across SaaS, and common CISO misconceptions. The report recommends building an AI governance and risk management program aligned to NIST AI RMF/ISO 42001, incorporating shadow AI detection, third‑party AI reviews, secure MLOps, user training, and ongoing regulatory monitoring.