Closing the AI Governance Gap: 2026 Healthcare AI Security Benchmark Findings

Closing the AI Governance Gap: 2026 Healthcare Benchmark Findings Can healthcare organizations prove their AI governance policies and security controls actually work? Clearwater's 2026 Healthcare AI Security & Governance Benchmark Study reveals a significant gap between documented AI governance and technical verification. While healthcare organizations have established AI policies and oversight processes, many cannot verify what AI is operating in their environments or demonstrate that security controls are effective. In this recorded webinar, Harry Lu, Vice President of AI Solutions at Clearwater, examines findings from a survey of 105 healthcare organizations and related companies, including hospitals, health systems, physician groups, health plans, and healthcare technology companies. The session explores five key findings on AI inventory validation, data security, third-party AI risk, governance frameworks, and security investment. FEATURED SPEAKER Harry Lu Vice President, AI Solutions, Clearwater WHAT YOU'LL LEARN • Why only 8.6% of surveyed organizations can validate their AI inventory through automated discovery • How shadow AI creates security, privacy, and data exposure risks • Why third-party AI is a leading concern for healthcare organizations • The gap between