Govern the Agent or Own the Breach
Your AI agent has Contributor access and no judgment. Here is what that costs you.
AI agents are already operating inside Power BI and Microsoft Fabric workspaces. Most are doing it with Contributor-level access, no sensitivity label checks, and no human in the loop. This whitepaper explains why that is a materially different threat from any previous BI misconfiguration - and shows exactly what happens when it goes wrong.
Drawing on three real incidents - including EchoLeak (CVE-2025-32711, CVSS 9.3) and the PocketOS database deletion - Datalogz Research documents the failure modes that governance theater cannot prevent. The whitepaper then lays out the seven non-negotiable guardrails for any agentic BI deployment: from sensitivity label propagation and RLS validation to lineage impact checks and credential hygiene.
The cost of building these guardrails is measured in hours. The cost of skipping them, as the incidents show, is measured in millions.
Download the whitepaper to see the seven guardrails and the governed-vs-ungoverned scenario your team needs to review before your next agent deployment.
