Mapping AI Oversight to Health Regulations

HIPAA, HITECH, and FDA requirements rarely name specific technical controls for AI, so compliance teams hand-map evidence for every model, vendor, and agent. That work is slow, inconsistent, and outdated by the next audit. PointGuard AI links discovery, testing, and enforcement results to the frameworks healthcare organizations report against, so evidence stays current and consistent.

Compliance teams translate AI activity into regulatory evidence by hand.

• Regulations describe outcomes, not AI-specific controls.
• Evidence sits across security, privacy, and clinical teams.
• Each framework requires a different mapping of the same controls.
• Vendor and agent changes quickly make evidence stale.

AI Governance, AI Discovery & Inventory, and AI Security Posture Mgt. centralize findings and map them to health and AI frameworks.

1. Inventory AI systems. Discover models, applications, agents, and vendors, with owners, intended use, and the patient data each touches.

2. Collect findings. Combine posture findings, adversarial test results, and runtime detections into a single risk view for each system.

3. Map to frameworks. Link findings and controls to HIPAA, HITECH, NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Organize evidence by system for audits and reviews.

4. Report continuously. Use dashboards and exports to show open risks and remediation progress to compliance committees, auditors, and regulators.

PointGuard AI supports compliance programs; it does not replace legal review or establish compliance with any regulation.

• OWASP Top 10 for LLMs: LLM02 Sensitive Information Disclosure and LLM06 Excessive Agency, supporting oversight of PHI exposure and excessive authority across governed systems.
• OWASP Top 10 for Agentic Applications: ASI03 Identity and Privilege Abuse and ASI10 Rogue Agents, addressing unmanaged identities and agents operating outside approved policy.
• NIST AI RMF: GOVERN establishes accountability; MAP inventories uses; MEASURE tracks risk; MANAGE documents remediation.