When agents act on their own, governance has to live in the data layer
Action Required: Review current AI governance frameworks to ensure they account for autonomous agent behavior and data-level access controls.
As financial firms deploy autonomous AI agents, traditional governance models that rely on human oversight or abstract policies may fail to keep pace with real-time actions. The article argues that effective governance must shift to the 'data layer,' where rules are enforced programmatically at the moment of data access, rather than relying on after-the-fact monitoring.
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