Governance and Security Framework

Governance and Security Framework

Ensuring Responsible AI Implementation

Governance Structure

  • Executive Sponsorship: C-level accountability for AI strategy
  • Steering Committee: Cross-functional oversight and direction
  • Center of Excellence: Expert resources and best practices
  • Business Unit Owners: Domain-specific implementation and adoption
  • User Advocates: Representation of end-user needs and concerns

Security Considerations

  • Authentication & Authorization

    • Secure user identity verification
    • Role-based access controls
    • Permission inheritance from backend systems
  • Data Protection

    • End-to-end encryption for messages
    • Secure storage of conversation history
    • PII/sensitive data handling protocols
    • Compliance with regulatory requirements
  • AI-Specific Controls

    • Content filtering for inappropriate requests
    • Citation of information sources
    • Confidence thresholds for automated actions
    • Human approval for high-impact decisions
  • Audit & Monitoring

    • Comprehensive logging of all interactions
    • Pattern analysis for anomaly detection
    • Regular security assessments and penetration testing
    • Incident response procedures
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