AI Security Governance Framework
EU AI Act obligations are arriving in phases, and many organizations still lack a mature AI security strategy. This engagement builds your framework, aligned to NIST AI RMF and EU AI Act, before enterprise customers or auditors demand it.
What's Included
- AI tool and use case inventory across the organization
- Risk assessment against NIST AI RMF and EU AI Act requirements
- AI Acceptable Use Policy development
- Data governance controls for AI training and inference data
- Vendor AI risk assessment framework and questionnaire
- Executive and board briefing on AI risk posture
- Alignment mapping to applicable regulatory frameworks
Deliverables
- AI Use Case Registry
- AI Acceptable Use Policy (draft, ready for legal review)
- AI Risk Assessment Methodology
- Vendor AI Security Assessment Questionnaire
- Board-ready AI Risk Summary
Frequently Asked Questions
How should we plan for EU AI Act requirements?
Requirements depend on the use case and your role as provider or deployer. Start with an AI inventory, ownership, and risk assessment, then map the applicable obligations and dates with legal counsel using the European Commission implementation timeline.
Does my company need AI governance even if we only use third-party AI tools?
Yes. Using AI tools (ChatGPT, Copilot, Gemini, etc.) creates data governance obligations, potential training data exposure, and vendor AI risk. Enterprise customers are already asking about this in security questionnaires.
What frameworks does the AI Security Governance engagement cover?
NIST AI RMF, EU AI Act, and alignment to ISO/IEC 42001 where applicable. Deliverables include an Acceptable Use Policy, AI Use Case Registry, and vendor AI risk questionnaire.