Analysis
How to Detect Shadow AI in the Enterprise
Publication date unknown · Discovered cyberhaven.com
Page published
Publication date unknown · First observed: 7 Oct 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
Shadow AI creates an invisible data-exfiltration channel when employees feed sensitive data into unsanctioned AI tools, and defenders need data-layer visibility because traditional DLP and network monitoring miss copy-paste and personal-account usage.
A Cyberhaven blog post explains how enterprises can detect 'shadow AI' — unsanctioned use of AI tools such as employees pasting confidential documents into chatbots via personal accounts. The piece compares detection approaches (network/perimeter monitoring, traditional DLP, browser-level monitoring, and data lineage tracking) and argues that visibility must occur at the data layer rather than the network perimeter.