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Enterprise AI agents are racing ahead of the controls meant to stop them

AI Business's reporting on enterprise agents gets at the central adoption problem: agents can act, but many organizations still lack confidence that they can stop them cleanly when behavior drifts.

The enterprise case for agents is strong because repetitive workflows, internal systems, and customer operations are full of tasks that software can coordinate. The risk is that action without control turns automation into exposure.

The next mature agent stack will need explicit permissions, transaction limits, rollback paths, human checkpoints, and logs that security and compliance teams can actually use.

Source: AI BusinessPermalink

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