Mapping Exposure, Establishing Benchmarks, and Building Defensible AI Governance

This paper defines the expanding AI domain landscape and explains how it creates regulatory exposures. It explores how these risks manifest through data flows, shadow AI, and third-party dependencies, and how security leaders can regain visibility and control. 

The playbook provides a framework for CISOs to conduct risk audits, evaluate providers, and demonstrate defensibility to boards and regulators as AI adoption accelerates.

Readers will learn:

• How embedded and AI-native tools create hidden compliance gaps.
  
• The key exposure areas: HIPAA and SOC 2 alignment, data residency, free-tier usage, and consent.
  
• Why shadow AI represents a growing AI governance failure for enterprises.
  
• How to structure due diligence across providers and track data handling in real time.
  
• How to turn risk audits into a repeatable compliance framework that satisfies leadership and auditors.