AI Agent Autonomy Demands Data-Layer Governance

As AI agents gain more autonomy to plan and execute actions without human approval, enterprises must embed governance directly into the data layer to prevent unauthorized operations. The responsibility for agent behavior rests with the organization, requiring practical enforcement rather than abstract policies. This shift demands that security and compliance controls operate at the data level where agents interact.