Objectives & Scope

This policy ensures every high-risk AI system meets quantifiable performance, resilience, and security thresholds throughout its lifecycle. It applies to all models, APIs, and autonomous decision systems built or operated by Zen AI Governance UK Ltd.

Accuracy Benchmarks & Metrics

• Metric Set: Precision, Recall, F1, AUC, MAE, and Calibration Error.
• Threshold Definition: Establish minimum targets per use-case (high-risk ≥ 0.85 F1).
• Bias Control: Fairness gap ≤ 5 %; Demographic Parity Ratio ≥ 0.9.
• Drift Detection: ±3 % change in F1 or Fairness Index triggers re-validation.
• Calibration Curve Tracking: Expected vs Observed Confidence to avoid over-confidence bias.

Robustness & Stress Testing

• Conduct adversarial testing (perturbation, prompt injection, context swap).
• Perform load testing under peak input rates (95th percentile latency < 1 s).
• Evaluate graceful degradation for sensor / input failure scenarios.
• Ensure redundant pipelines and fallback models for critical services.
• Maintain a Robustness Score Card aggregating resilience, stability, and recoverability indices.

Cybersecurity Framework

Monitoring & Continuous Validation

• Integrate performance telemetry into Post-Market Monitoring (PMM) dashboard.
• Trigger alerts for accuracy drop > 5 % or security incident detected.
• Conduct quarterly robustness audits and annual penetration tests.
• Update risk register and RMS scores after each audit cycle.

Incident Response & CAPA

• Immediate rollback to previous model version if accuracy < threshold for > 24 h.
• Escalate via Incident Severity Matrix (1–5) and notify Compliance Officer within 2 h for SEV-1/2 events.
• Document Root-Cause Analysis (RCA) and apply CAPA entries in AIMS log.
• Track effectiveness through follow-up validation tests and audits.

Templates & Registers

Model_ID,Version,Metric,F1,Precision,Recall,Fairness_Gap,Robustness_Score,Validation_Date,Reviewer,EV_ID
  

Incident_ID,Date,Type,Detected_By,Severity,Action_Taken,Resolved,Resolution_Date,Residual_Risk,EV_ID
  

Framework Alignment

Implementation Checklist

• Accuracy thresholds defined and approved by Governance Board.
• Robustness testing performed (pre-release & quarterly post-release).
• Cybersecurity controls implemented & audited monthly.
• Metrics register and incident log maintained with EV-ID references.
• Annual penetration test & bias validation completed with CAPA closure.

© Zen AI Governance UK Ltd • Regulatory Knowledge • v1 17 Nov 2025 • This page is general guidance, not legal advice.