Zero-Trust Architecture for Autonomous AI

Apply zero-trust principles to AI: never trust, always verify.

Zero-Trust Principles

1. Verify explicitly - Validate every action
2. Least privilege - Minimal permissions
3. Assume breach - Plan for compromise

Implementing Zero-Trust for AI

1. No Implicit Trust

# ❌ BAD: Trust the agent
execute_action(agent_action)

# ✓ GOOD: Verify every action
if act.validate(token, action):
    execute_action(action)

2. Continuous Validation

Don't just validate at startup—validate every single action at runtime.

3. Micro-Segmentation

Each agent accesses only what it absolutely needs.

email_agent:
  resources: ["email://send"]
  
database_agent:
  resources: ["db://customers"]
  constraints: {readOnly: true}

ACT Zero-Trust Features

• Runtime validation
• Minimal permissions
• Complete audit trails
• Instant revocation

Conclusion

Zero-trust is the only safe model for autonomous AI in production.

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