Composite models could be combining multiple sources of information within them, which could mean managing permissions over more sources of information. Therefore, to control the permissions appropriately, you'll want to apply Row-Level Security (RLS) rules on the imported section of the model. The RLS provides filtering to restrict visibility of data, where you can role the security and RLS will restrict visibility based on the user and username and could mean your user only accesses data on a need to know basis.

The RLS for DirectQuery sources may sometimes not go into effect and as far as possible, RLS needs to be observed even RLS is deferred for any security offerings for databases the model may defer to anytime. Consequently, ensure the permission for the database is managed well or created views (for specific user groups) apply to RLS.

Your data models are to consider sensitive data and where there may be certain priorities of general consumption. In some cases modeling to separate sensitive data from general consumption is needed even if using Composite models that separate public and restricted tables.

Thus, consider managing scalable access controls for the Power BI service security groups that assign users to roles in a workspace to datasets.

If access control and security features are ones you'd like to explore in a structured manner for the enterprise will secure their BI into enterprise level solutions, for those professionals, it's worth considering a Power BI Course in Pune from a training organization.

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