Accuracy, Robustness & Cybersecurity — Risk Management
Accuracy, Robustness & Cybersecurity — EU/UK aligned
EU AI Act Compliance Risk Management EU/UK aligned
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Key takeaways
- Accuracy without robustness is fragile; cybersecurity binds both — measure and prove all three with evidence.
Accuracy & calibration
- Representative test sets; per-cohort accuracy; calibration curves for confidence; abstain-on-uncertainty policies.
Robustness & stress
- Distribution shift; missing/dirty inputs; long-tail prompts; toxicity/noise; rate-limit & back-pressure tests.
Adversarial resilience
- Prompt injection, tool abuse, data poisoning, model stealing; red-team suites and mitigations.
Supply-chain integrity
- Signed artifacts; provenance attestations (e.g., SLSA-style); SBOM; dependency scanning.
Secure development
- Threat modelling; static/dynamic analysis; secrets handling; 4-eyes code reviews; IaC scanning.
Run-time security
- Isolation; network egress control; token scoping; anomaly detection; audit trails; key rotation.
Guardrails & content safety
- Safety classifiers; rule-based blocks; RAG source citation; watermarking policy; abuse reporting.
Resilience & DR
- Multi-AZ/region strategy; failover drills; graceful degradation paths; recovery time objectives.
Metrics & thresholds
- Accuracy, robustness scores, attack detection rate, MTTR, override rate, and security incident counts with thresholds.
Evidence & tests
- Test plans, suites, results, and links to dashboards; red-team reports; vulnerability management records.
Signals → PMM & CAPA
- Breaches open incidents; CAPA updates models/filters/policies; RMS risk ratings refreshed accordingly.
Implementation checklist
- Per-cohort accuracy; robustness/adversarial tests; secure SDLC; run-time controls; evidence snapshots.
© Zen AI Governance UK Ltd • Regulatory Knowledge • v1 05 Nov 2025 • This page is general guidance, not legal advice.
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