AI governance framework
A structured approach to governing AI usage across the enterprise. Four pillars — policy, controls, accountability, and monitoring — create a framework that enables productive AI adoption while maintaining security and compliance.
Four pillars of AI governance
01
Policy
Define AI usage policies, acceptable use criteria, and data classification rules. Policies should enable productivity while establishing guardrails.
02
Controls
Implement automated enforcement: PII masking, injection detection, content filtering, and provider restrictions. Manual governance does not scale.
03
Accountability
Assign ownership: who manages AI policy, who reviews incidents, who reports to the board. Clear accountability prevents governance gaps.
04
Monitoring
Continuous visibility into AI usage patterns, policy compliance, risk metrics, and security events. You cannot govern what you cannot measure.
Policy development
AI usage policies should answer: which AI tools are approved? What data types can be shared with AI? Who can use AI for what purposes? What happens when policy is violated? Effective policies are specific, measurable, and automatically enforceable through policy enforcement tools.
Automated enforcement
Policy without enforcement is a memo. PromptWall automates AI governance by enforcing policies at the point of interaction — masking PII, blocking injection, restricting providers, and logging every interaction for audit.
Compliance alignment
A well-designed AI governance framework maps to regulatory requirements automatically. EU AI Act requires risk management and transparency. SOC 2 and HIPAA require audit trails and data controls. PromptWall provides the technical controls that satisfy these requirements.
Implement AI governance
Deploy automated AI governance with PromptWall.
Frequently asked questions
What should an AI governance framework include?+
An AI governance framework should include: AI usage policies defining acceptable use, data classification rules for AI interactions, automated enforcement mechanisms, accountability structures (who owns AI risk), audit and monitoring capabilities, incident response procedures, and compliance mapping.
Who owns AI governance in the enterprise?+
AI governance typically sits under the CISO with cross-functional collaboration from legal, compliance, HR, engineering, and AI/ML teams. A dedicated AI governance lead coordinates across these functions. The board should receive regular updates on AI risk posture.
How long does it take to implement an AI governance framework?+
A minimum viable framework (usage policy + automated enforcement + audit trail) can be deployed in weeks with PromptWall. A comprehensive framework including organizational change, training, and compliance mapping typically takes 2-3 months.