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零信任是持续校验，不是一次判断Zero Trust Is Continuous Validation
AI 场景中的访问上下文会动态变化：模型能力、工具权限、输入数据敏感度都可能在一次会话内发生变化。策略必须持续评估，而不是在登录时判定一次就结束。Context changes quickly in AI workflows: model capability, tool scope, and data sensitivity may change within one session. Policy must be continuously evaluated, not only at login.
审计证据必须覆盖全链路Audit Evidence Must Cover the Full Chain
合规审计真正关心的是责任链：谁触发请求、调用了哪些工具、访问了哪些资源、是否命中风险策略。缺任何一段，复盘与问责都会失真。Compliance review depends on accountability chain: who initiated, which tools were called, what resources were accessed, and whether risk policy was triggered. Missing links weaken post-incident analysis.
把安全控制嵌入运行流程Embed Security Controls into Operations
最佳实践是让风险评分、策略执行、审计导出与告警协同在同一控制平面内运行。这样安全不再“附加在系统外”，而是系统本身的运行属性。Best practice is running risk scoring, policy enforcement, audit export, and alerts on one control plane. Security becomes an operating property of the system, not an external add-on.