Analysis · curated 18 Aug 2026
How to discover AI, enforce policies, and prevent data loss
First reported pushsecurity.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Shadow AI — unapproved AI apps, browser extensions, OAuth grants, and MCP connections — expands the enterprise attack surface for data exfiltration, making visibility and data-flow governance a real defensive concern.
A Push Security blog argues that blocking AI tools at the network level drives shadow AI underground, and outlines a governance approach for discovering unapproved AI apps, browser extensions, OAuth integrations, and MCP connections, plus enforcing data-flow controls (blocking uploads/downloads/clipboard pastes and monitoring AI chat transcripts). The piece cites telemetry claiming the average organization runs 16 AI apps, 17 AI browser extensions, and 17 AI OAuth integrations in a typical week, most unapproved.