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Course Outline
Introduction to Governance and Security in WrenAI
- Challenges in enterprise adoption.
- Critical governance and compliance considerations.
- Core security principles within WrenAI.
Permissioning Models
- Defining user roles and access levels.
- Implementing row-level and object-level security.
- Delegated administration models.
Auditability and Compliance
- Configuring comprehensive audit logs.
- Tracking queries and data usage patterns.
- Ensuring adherence to enterprise policies and regulations.
Monitoring and Usage Analytics
- Setting up usage monitoring dashboards.
- Identifying anomalies and potential risks.
- Integration with SIEM and other monitoring tools.
Secure Environment Setup
- Ensuring workspace and project isolation.
- Implementing encryption and data protection mechanisms.
- Configuring network and API security settings.
Enterprise Rollout Strategies
- Phased deployment approaches.
- Scaling permissions and governance policies.
- Managing change and supporting adoption.
Advanced Governance Patterns
- Cross-domain governance integration.
- Federated identity and single sign-on (SSO) implementation.
- Emerging 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 mechanisms and monitoring tools.
Target Audience
- Data platform owners.
- Security architects.
- Compliance leads.
14 Hours
