Governance and Security Patterns for WrenAI in the Enterprise Training Course
WrenAI is an AI-powered analytics platform designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.
This instructor-led, live training (online or onsite) is aimed at advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.
By the end of this training, participants will be able to:
- Design and implement permissioning models in WrenAI.
- Apply auditability and monitoring practices for compliance.
- Set up secure environments with enterprise-level controls.
- Roll out WrenAI safely across large organizations.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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Course Outline
Introduction to Governance and Security in WrenAI
- Enterprise adoption challenges
- Key governance and compliance considerations
- 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
- 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
- An understanding of enterprise data platforms
- Experience with security frameworks and compliance standards
- Familiarity with access control and monitoring tools
Audience
- Data platform owners
- Security architects
- Compliance leads
14 Hours
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