One signal

AI security needs to account for the agents already handling data and accessing systems, argues Anjuna Security chief executive Ayal Yogev. His practical advice: give each agent its own identity, limit its permissions, monitor it and retire it when it is no longer needed.

Yogev also recommends mapping where AI-generated code and agent data flows are in use, protecting data while it is being processed, and keeping basics such as multi-factor authentication and least privilege in place. Those are his recommendations, not a universal security standard. There is a commercial interest attached: Yogev’s company sells confidential-computing technology, which he presents as one possible protection for data in use. The useful point stands apart from the sales pitch: agent access deserves the same careful housekeeping as access held by people.

Discuss: Should organisations have to inventory and review every AI agent’s access like a privileged employee account, or is that too much overhead for tools that change constantly?

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