Enterprise AI Governance: Security, Compliance, Ethics

Enterprise AI Governance: Security, Compliance, Ethics

Build AI systems enterprises trust. SOC 2, GDPR, FCA compliance frameworks, data governance, and ethical AI implementation for regulated industries.

Governance Framework

Data Governance - Data inventory and classification - Access controls and encryption - Data retention policies - Audit logging

Model Governance - Model versioning and tracking - Performance monitoring - Bias detection - Model explainability

Compliance - GDPR: Data privacy and right to explanation - SOC 2: Security and availability - FCA: Fair lending and discrimination - Industry-specific regulations

Security Implementation

✅ Encrypt data at rest and in transit ✅ Implement role-based access control ✅ Regular penetration testing ✅ Incident response plan ✅ Security audit trails

Ethical AI Principles

1. **Transparency**: Explain how AI makes decisions 2. **Fairness**: Avoid bias in training data 3. **Accountability**: Clear responsibility for AI outcomes 4. **Privacy**: Protect customer data 5. **Security**: Protect against attacks

Real Compliance Checklist

□ Data classification complete □ Privacy impact assessment done □ Model bias testing implemented □ Explainability documentation ready □ Audit logging enabled □ Incident response plan in place

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