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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

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