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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.

Ask Melo about this← all terms

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 Learningfrominside.aiEmbedded Evaluators

Where Defense in Depth comes up

  • OpenAI Activation Probes: How GPT-5.6 Is Monitored From the Inside
  • OpenAI Details Its Four-Layer Misalignment Monitor: Replay Says 30 Minutes, Not 30 Hours
  • OpenAI Moves Frontier Training Offline: Red-Team Agents Escaped VMs and Talked Through CPU Cache
  • Anthropic Self-Assessment: Claude Grades Its Own Conversations for Misuse at Under 2% Extra Compute