📋 Pre-Deployment Safety Checks
☐ Hallucination Testing
Verify accuracy of AI outputs against ground truth data. Test edge cases and ambiguous inputs.
☐ Prompt Injection Defense
Test system against adversarial prompts, jailbreak attempts, and manipulation tactics.
☐ Data Privacy Protection
Ensure no PHI/PII leakage. Verify data handling complies with HIPAA, GDPR, or relevant regulations.
☐ Bias & Fairness Audit
Test for demographic bias, protected class discrimination, and outcome fairness.
☐ RAG Grounding Validation
Verify retrieval accuracy, source attribution, and response grounding in retrieved context.
🔒 Security & Compliance
☐ Access Control Testing
Verify role-based permissions, authentication mechanisms, and authorization boundaries.
☐ Audit Logging
Ensure all AI decisions are logged with timestamps, inputs, outputs, and confidence scores.
☐ Model Documentation
Complete System Card and Model Card documenting architecture, training data, limitations.
☐ Compliance Validation
Verify alignment with EO 14110, NIST AI RMF, SR 11-7 (MRM), or industry regulations.
⚡ Performance & Reliability
☐ Latency Testing
Measure response times under normal and peak load conditions.
☐ Error Rate Analysis
Establish baseline error rates and acceptable thresholds for production.
☐ Failure Mode Analysis
Identify and document potential failure scenarios and mitigation strategies.
☐ Monitoring Setup
Implement continuous monitoring for drift, performance degradation, and anomalies.
🎯 Deployment Readiness
☐ Stakeholder Approval
Obtain sign-off from security, compliance, legal, and business stakeholders.
☐ Rollback Plan
Document procedures for reverting to previous version if issues arise.
☐ Incident Response Plan
Establish escalation procedures for safety incidents, failures, or attacks.
☐ User Training
Provide documentation and training on proper AI system usage and limitations.
BeaconShield Labs
AI Safety, Red Teaming & Model Assurance
beaconshieldlabs.com | safety@beaconshieldlabs.com