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  5. Defense in Depth
Safety & Alignment

Defense in Depth

Defense in depth protects an AI system with multiple independent layers of prevention, detection, and recovery.

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Model training, input controls, authorization, sandboxing, output validation, monitoring, and rollback each address different failure paths. The design assumes any single layer may be bypassed or fail.

Related terms

SandboxingLeast PrivilegeDifferential PrivacyPrivacy-Preserving Machine LearningWatermark CapacityReward Hacking