Protect data and permissions
AI applications should inherit strong identity, least-privilege access, data classification, content filtering, and source-level authorization.
Validate behavior before launch
Testing should cover prompt injection, unsafe tool use, sensitive-data exposure, hallucination risk, model drift, and failure handling before teams scale usage.
Monitor production risk
Security leaders need visibility into usage, blocked actions, high-risk prompts, policy violations, cost anomalies, and incidents across the AI portfolio.