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Course Outline
Introduction to Governance and Security in WrenAI
- Challenges in enterprise adoption
- Key governance and compliance considerations
- Core security principles in WrenAI
Permissioning Models
- User roles and access levels
- Row-level and object-level security
- Delegated administration models
Auditability and Compliance
- Configuring audit logs
- Tracking queries and data usage
- Aligning with enterprise policies and regulatory requirements
Monitoring and Usage Analytics
- Usage monitoring dashboards
- Identifying anomalies and potential risks
- Integration with SIEM and other monitoring tools
Secure Environment Setup
- Workspace and project isolation
- Encryption and data protection mechanisms
- Configuring network and API security
Enterprise Rollout Strategies
- Phased deployment approaches
- Scaling permissions and governance policies
- Change management and user adoption support
Advanced Governance Patterns
- Cross-domain governance integration
- Federated identity and single sign-on (SSO)
- Future trends in AI governance and compliance
Summary and Next Steps
Requirements
- A solid understanding of enterprise data platforms
- Practical experience with security frameworks and compliance standards
- Familiarity with access control mechanisms and monitoring tools
Target Audience
- Data platform owners
- Security architects
- Compliance leads
14 Hours
