Security & Privacy
Security controls and privacy-preserving practices used when building and operating AI-enabled systems.
Access and identity
- Role-based access control and least-privilege permissions.
- Separation of duties for model changes and approvals.
- Service-to-service authentication for internal components.
Encryption and transport
- Encrypt data in transit and at rest.
- Key management practices aligned with environment requirements.
- Secure secrets handling and rotation processes.
Logging and monitoring
- Security event logging for access and changes.
- Monitoring for anomalies and operational exceptions.
- Retention and access rules for logs and audit data.
Privacy and data handling
- Data minimization and purpose limitation by design.
- Defined retention periods and deletion workflows.
- Controls for sensitive attributes and regulated data categories.
Artifacts produced
- Access and change logs for model/system operations.
- Data handling notes (retention, deletion, access model).
- Operational monitoring definitions and incident-ready evidence.
Related
- Connected pillars: Model Training & Data; Compliance & Ethics
- Applied pattern: AI Personal Model
Related links
CTA
Contact Maloni to discuss requirements, constraints, and next steps.