Unproven AI Governance Across Consumer Brands

Boards, regulators, and retail partners increasingly ask how CPG companies govern AI. Ownership, risk scores, and evidence live in disconnected spreadsheets across brands and regions, so answers are slow and inconsistent. PointGuard AI unifies AI inventory, risk, and compliance evidence in one dashboard mapped to OWASP, NIST AI RMF, and GDPR.

AI governance evidence is fragmented across brands and regions.

• Each brand tracks AI use differently.
• Risk scores are inconsistent or missing.
• Partners and boards want one clear answer.
• Privacy rules differ across markets.

AI Governance, AI Security Posture Mgt., and AI Discovery & Inventory centralize evidence and reporting.

1. Inventory AI across brands. Maintain a current list of AI systems, owners, and data access by brand and region.

2. Score risk consistently. Combine posture findings, test results, and runtime detections into one risk score per system.

3. Map to frameworks. Link controls and evidence to OWASP, NIST AI RMF, ISO/IEC 42001, and GDPR.

4. Report with confidence. Give boards and partners a current, consistent view of AI risk and remediation.

PointGuard AI supports governance programs; it does not by itself establish compliance with any regulation.

• OWASP Top 10 for LLMs: LLM02 Sensitive Information Disclosure and LLM06 Excessive Agency, supporting oversight of data exposure and excessive authority across brands.
• 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.