Agentic loop and learning parallels

Mike & Tommy tackle the critical security distinctions between Publish to Web and Power BI Embedded when exposing reports publicly, questioning whether Embedded actually provides meaningful protection over Publish to Web when authentication isn't required. They explore how Row-Level Security behaves differently in each approach, whether URL filters can be locked down, and what organizations should actually do when building public-facing dashboards—including when to aggregate data upstream, disable granular access entirely, or reconsider whether the data should be public at all.Get in touch:

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