When agents act on their own, governance has to live in the data layer
Action Required: Review current AI governance frameworks to ensure data-level controls are considered, rather than relying solely on user-level guardrails.
As AI agents gain autonomy to act across systems, traditional governance models that rely on human oversight or abstract policies are becoming insufficient. The article argues that effective AI governance must move from the agent layer to the data layer, enforcing rules in real-time where the data is accessed, which is critical for financial firms managing sensitive client information.
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