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Course Outline
Introduction to Governance and Security in WrenAI
- Challenges associated with enterprise adoption.
- Key governance and compliance considerations.
- Core security principles within 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.
- Compliance with enterprise policies and regulations.
Monitoring and Usage Analytics
- Usage monitoring dashboards.
- Identifying anomalies and risks.
- Integrating with SIEM and 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 adoption support.
Advanced Governance Patterns
- Cross-domain governance integration.
- Federated identity and single sign-on.
- Future trends in AI governance and compliance.
Summary and Next Steps
Requirements
- A solid understanding of enterprise data platforms.
- Experience with security frameworks and compliance standards.
- Familiarity with access control and monitoring tools.
Target Audience
- Data platform owners.
- Security architects.
- Compliance leads.
14 Hours
