Governance for AI Agents Must Live in Data Layer

Enterprises are increasingly granting AI agents more autonomy, raising concerns about governance and control. Traditional methods of applying rules at the agent layer are inadequate due to the unpredictable nature of autonomous systems. Instead, governance should be enforced at the data layer, where agents interact with data in real-time. This approach ensures that policies are executable and enforceable at the moment of action, providing a robust framework for managing agent behavior. By embedding governance in the data layer, enterprises can confidently deploy AI agents, knowing that their actions are controlled and auditable.