Summary
Provides complementary health-industry guidance for governing cybersecurity, privacy, resilience, and third-party risks across the AI lifecycle. Addresses AI-specific threats, enterprise governance, inventories, risk classification, procurement, vendor transparency, supply-chain dependencies, contractual controls, validation, monitoring, incident response, model changes, and decommissioning.
Healthcare Implications
Health systems, health plans, life-sciences organizations, and vendors can use the guides to integrate AI into existing cyber-governance and third-party-risk programs, identify hidden vendor and model dependencies, require evidence and contractual transparency, validate controls before deployment and after updates, monitor drift and adversarial risks, and maintain operational resilience.