When agents act on their own, governance has to live in the data layer

As enterprises increasingly deploy AI agents capable of executing tasks across systems without manual oversight, traditional security models are struggling to maintain control. This shift necessitates moving governance protocols directly into the data layer to ensure agents remain restricted to authorized actions. By embedding permissions into the data architecture itself, organizations can prevent unauthorized operations that might otherwise bypass standard application-level security.