Many organizations build security one system at a time. Power BI has one security model. Databases have another. Internal applications often have their own custom permission logic. Over time, this creates fragmented rules, inconsistent access, duplicated effort, audit challenges, and governance risk.

This session presents a scalable approach to enterprise access control using a customizable RLS-inspired framework that can be applied across reporting, database architecture, and internally built Java-based applications. The framework starts with categorized data and security labels, then applies reusable access rules based on users, roles, business units, locations, data sensitivity, and organizational structure.

Rather than treating Row-Level Security as a single Power BI feature, this session shows how advanced RLS principles can become the foundation for a broader enterprise data security standard.

Attendees will walk away with a practical blueprint for designing reusable security logic, reducing fragmented access rules, and building a governance-ready framework that can scale across BI, databases, and enterprise applications.

Key Takeaways:

1. How to move from report-level RLS to enterprise access control
2. How to use security labels and data categorization to drive access rules
3. How to design reusable role-based security logic
4. How to apply the same security framework across Power BI, databases, and Java-based applications
5. How to position RLS as part of a broader enterprise data governance strategy

Ideal Audience:
Power BI developers, data architects, BI administrators, database architects, application architects, governance leaders, and analytics managers.