AI Governance Checklist 1

AI GOVERNANCE CHECKLIST

Is Your Security Prepared for the Age of Agentic AI? As AI systems evolve from answering questions to autonomously taking action, traditional governance models are no longer enough.

Use this checklist to assess whether your organization is prepared to govern AI agents, copilots, and AI-powered applications at enterprise scale.

Visibility & Discovery

We have a complete inventory of AI applications and agents in use across the organization.

We can identify which agents have access to enterprise systems, data, and APIs.

We monitor employee use of public and private AI tools.

We understand where sensitive data enters AI workflows.

We can track AI actions across applications and business processes.

Data Protection & Governance

Policies exist to control what data can be shared with AI systems.

Sensitive, regulated, and proprietary data is automatically identified and protected.

Access to retrieved context and enterprise knowledge sources is governed.

AI-generated outputs are inspected for potential data leakage.

AI usage complies with regulatory, privacy, and internal governance requirements.

AI Governance Checklist 2

Agent Security & Runtime Controls

AI agents are monitored during execution, not just during development.

We can detect and stop prompt injection attacks.

Agent actions are validated before accessing critical systems.

Runtime controls prevent unsafe autonomous behavior.

Security policies are enforced consistently across users, applications, and agents.

Accountability & Oversight

Every AI action can be traced back to a user, agent, or workflow.

We maintain logs of agent decisions and system interactions.

We can investigate AI incidents and determine root cause.

Governance policies define acceptable levels of AI autonomy.

Human oversight exists for high-risk or business-critical actions.

Security Validation

AI applications and agents undergo regular security testing.

We assess vulnerabilities in reasoning, workflows, and tool usage.

AI Red Teaming assessment or service is used to uncover AI-specific risks before production deployment.

Security controls are continuously evaluated as AI systems evolve.

Governance reviews occur before new agents are deployed into production.

AI Governance Checklist 4

YOUR SCORE

0–10 Early-stage AI governance

11–20 Governance foundations in place

21–25 Well-positioned for secure AI adoption

Continue your journey by learning how leading enterprises are building secure AI governance frameworks in our Agentic AI Security Enterprise Playbook.

Great work! Whether you’re still in your AI Security planning process with limited visibility and governance, or well on your way to securing autonomous AI agents, taking this assessment is a strong step to shoring up your AI security strategy.

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