防止 AI Agent 越权执行：三层校验清单与执行前预检架构
Jay299792458 · reddit · 2026-08-12
The author argues that as AI shifts from natural language conversation to taking real actions (like invoking MCP tools), it loses critical logic inherent in traditional forms—such as condition checks, provenance tracking, and permission validation—leading to uncontrolled execution risks.
To solve this, the author proposes an execution-state-preflight architecture organized into three checklists:
- Fixed Checklist: Determines if the right tool is selected and if it's the right moment to execute.
- Provider Checklist: Validates required fields, formats, and tool-specific preconditions.
- User Checklist: Verifies user intent, context, and preferences.
For data retrieval, values must follow a strict lookup priority (e.g., user input > preset data > measured data). The model must never generate or infer execution parameters on its own. All execution grounds must be recorded for traceability, ensuring agents operate only within defined boundaries.
所属事件:构建三层校验清单防止 AI Agent 越权执行(2 条相关)→
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