Unverified70% confidenceSolutionExact time
Implementing 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.
2
Sources
70%
Confidence
Long-term
Relevance
8/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSetting parameters such as token limits or max_iterations inside an AI agent runtime can define boundaries for a single execution, preventing the agent from falling into infinite loops or uncontrollably consuming resources.79% similarUnverified最小权限原则在Agent场景下意味着工具调用权限应随任务上下文动态收缩，而非在初始化时静态配置全量工具集78% similarUnverifiedIn 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.77% similarUnverifiedMainstream AI Agent tools adopt the principle of least privilege, letting users designate a specific folder as the workspace, and the Agent can only operate within the sandbox.77% similar
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