Compliance Evidence Mapped to NERC CIP

Safety, reliability, and compliance reporting increasingly runs through AI, yet auditors cannot tell which models and agents meet NERC CIP or NIST baselines. Evidence is spread across security, operations, and compliance teams and is assembled by hand for each audit. PointGuard AI centralizes AI inventory, posture findings, and enforcement records and maps them to the frameworks energy auditors use.

AI compliance evidence in energy is scattered and manual.

• AI systems are missing from asset inventories.
• Evidence sits across security, OT, and compliance teams.
• Each framework requires a different mapping.
• Audit preparation repeats the same work every cycle.

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

1. Inventory AI systems. Discover models, agents, and MCP servers, with owners and the systems they touch.

2. Collect findings. Combine posture findings, test results, and runtime enforcement into one record per system.

3. Map to frameworks. Link controls and evidence to NERC CIP, NIST AI RMF, MITRE ATLAS, and ISO/IEC 42001, stored as tamper-evident records.

4. Report continuously. Show auditors current status, open risks, and remediation progress.

PointGuard AI supports compliance programs; it does not by itself establish compliance with NERC CIP or any other standard.

• OWASP Top 10 for LLMs: LLM03 Supply Chain and LLM06 Excessive Agency, supporting oversight of third-party components and excessive authority.
• OWASP Top 10 for Agentic Applications: ASI03 Identity and Privilege Abuse and ASI10 Rogue Agents, addressing unmanaged identities and agents outside approved policy.
• NIST AI RMF: GOVERN establishes accountability; MAP inventories uses; MEASURE tracks risk; MANAGE documents remediation.