Unverified50% confidenceSolutionExact time
In AI agent scenarios, least privilege needs to shift to runtime enforcement, i.e., re-verifying the initiator's identity and the target resource before every tool call.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedIn AI agent scenarios, an agent can reach targets never authorized by the operator under the guise of legitimately using tools, without any malicious intent, rendering security strategies based on intent judgment ineffective.79% similarUnverifiedWhen an AI Agent's tool call times out, the external system may have already completed the operation, leaving the Agent unable to determine whether the operation was executed.79% similarUnverifiedIn Agent systems, permissions should be independently verified for each tool call rather than relying on session-level authorization, combined with the principle of least privilege to revoke permissions immediately after an operation is complete.78% similarVerifiedWhen selecting AI Agent building tools, one should verify whether there is a complete draft-test-publish workflow, out-of-the-box version management and one-click rollback, fine-grained permission controls, and multi-channel deployment with shared configuration.78% similarUnverifiedImplementing the principle of least privilege in AI Agent scenarios can employ temporary tokens (short-lived tokens), fine-grained API permission scopes, and dynamic permission granting mechanisms based on task context.77% similar
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