Queen's University Belfast study says AI agents strain zero-trust security
Overview
Queen's University Belfast researchers argue that AI agent systems strain zero-trust security, because a single policy enforcement point is hard to scale across agentic interactions.
In an in-house experiment, agentic orchestration cut the time for a de-authentication attack to as little as 2 to 3 seconds. The authors call for AI bills of materials or distributed ledger traceability to establish trust under asynchronous autonomy.
Written by AI from the articles below · updated Nov 9, 11:35 AM ET
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- IEEE Spectrum · AINewsQueen's University Belfast study finds AI agents strain zero-trust security
AIQueen's University Belfast researchers argue that AI agent systems strain zero-trust security, since a single policy enforcement point is hard to scale across agentic interactions. In an in-house experiment, agentic orchestration cut the time for a de-authentication attack to as little as 2 to 3 seconds. The authors call for AI bills of materials or distributed ledger traceability to establish trust under asynchronous autonomy.
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