Zero Trust For AI Maturity Assessment

Example Request:

{
  "sessionId": "sess-abc123def456",
  "userId": 1001,
  "timestamp": "2024-01-15T10:30:00Z",
  "assessmentData": {
    "sessionId": "sess-abc123def456",
    "timestamp": "2024-01-15T10:30:00Z",
    "verification_conventional": {
      "mfa_enabled": true,
      "mfa_coverage_percent": 95,
      "device_verification": "enabled"
    },
    "verification_ai": {
      "model_provenance_tracking": true,
      "data_lineage_implemented": true
    },
    "least_privilege_conventional": {
      "rbac_implemented": true,
      "principle_of_least_privilege_score": 78
    },
    "least_privilege_ai": {
      "model_access_controls": true,
      "training_data_access_restricted": true
    },
    "assume_breach_conventional": {
      "segmentation_level": "advanced",
      "incident_response_plan": "documented"
    },
    "assume_breach_ai": {
      "model_poisoning_detection": true,
      "adversarial_testing_frequency": "quarterly"
    },
    "microsegmentation_conventional": {
      "network_segments": 12,
      "segment_isolation_score": 85
    },
    "microsegmentation_ai": {
      "model_isolation": true,
      "inference_sandbox": "enabled"
    },
    "continuous_monitoring_conventional": {
      "siem_deployed": true,
      "log_retention_days": 365
    },
    "continuous_monitoring_ai": {
      "model_drift_monitoring": true,
      "inference_anomaly_detection": "enabled"
    },
    "supply_chain_conventional": {
      "vendor_assessment_process": "defined",
      "sbom_requirement": true
    },
    "supply_chain_ai": {
      "model_source_verification": true,
      "training_data_provenance_verified": true
    }
  }
}

Example Response:

{
  "status": "success",
  "assessment_id": "ztai-2024-001",
  "sessionId": "sess-abc123def456",
  "timestamp": "2024-01-15T10:30:45Z",
  "overall_maturity_score": 82,
  "conventional_maturity_score": 84,
  "ai_maturity_score": 80,
  "principle_scores": {
    "verification": {
      "conventional": 95,
      "ai": 88
    },
    "least_privilege": {
      "conventional": 78,
      "ai": 82
    },
    "assume_breach": {
      "conventional": 80,
      "ai": 75
    },
    "microsegmentation": {
      "conventional": 85,
      "ai": 78
    },
    "continuous_monitoring": {
      "conventional": 88,
      "ai": 85
    },
    "supply_chain": {
      "conventional": 72,
      "ai": 68
    }
  },
  "recommendations": [
    {
      "principle": "supply_chain_ai",
      "priority": "high",
      "action": "Implement model source verification and training data provenance tracking"
    },
    {
      "principle": "assume_breach_ai",
      "priority": "medium",
      "action": "Increase adversarial testing frequency and enhance model poisoning detection"
    }
  ]
}