When agents act on their own, governance has to live in the data layer
Crucial architectural consideration for developers building enterprise AI systems with autonomous agents.
AI Summary
EDB argues that governance must shift to the data layer as autonomous agents gain planning and decision-making capabilities.
Excerpt
Presented by EDB As enterprises give AI agents more autonomy — the ability to plan, decide, and act across systems without a human approving each step — a hard question moves to the center of every architecture review: When an agent tries to complete an action that it was never authorized to do, what actually stops it? These are your agents, running on your models, touching your data in your infrastructure — and the responsibility for what they do sits with you. That responsibility can’t be me
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