Evaluate risks associated with generative AI and agentic AI use cases, including inaccurate or misleading outputs, inappropriate system actions, prompt injection, data leakage, privacy concerns, bias, explainability, security vulnerabilities, third-party dependencies, operational resiliency, and model or system drift. Support governance reporting for senior management and risk committees by developing concise insights on the enterprise AI risk posture, alignment with risk appetite, material exposures, concentration and dependency risks, control themes, open issues, and areas requiring escalation.