Checklist

AI Security Assessment

In 2024, a deepfake attacker joined a video call using the fabricated voice and likeness of a financial executive and talked a company's finance team into wiring $25 million. AI adoption inside most organizations has outpaced security review, and most security teams don't yet have a clear picture of where AI lives inside their environment. This assessment gives CISOs and security leaders a structured, five-phase framework for evaluating AI exposure across sanctioned tools, shadow AI, embedded SaaS features, and autonomous agents, producing a prioritized, board-ready roadmap your team can act on immediately.

What’s inside:

1A five-phase evaluation framework: discovery and inventory, configuration and access review, governance and policy assessment, agentic and LLM security review, and strategic guidance and reporting
2Sample AI asset inventory and configuration review tables showing exactly what a completed assessment surfaces, from unsanctioned ChatGPT use to autonomous procurement agents
3A governance gap analysis mapped to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and MITRE ATLAS
4Agentic and LLM-specific risk findings covering prompt injection, data leakage, overly permissive scope, and human oversight gaps
5A prioritized 30/60/90-day roadmap of quick wins, architectural changes, and governance updates, each mapped to a specific finding and owner