Shadow AI poses greater enterprise risk than shadow IT ever did

Source: SiliconANGLE

The enterprise deployment pattern is inverting: where shadow IT forced IT teams to retrofit governance onto grassroots cloud adoption, shadow AI is moving faster and touching more sensitive assets before security teams can even inventory what’s running. Employees experimenting with ChatGPT, Claude, and internal LLM instances are now data couriers by default—feeding proprietary information, customer records, and trade secrets into systems with opaque retention policies and no contractual protection, creating compliance failures that outpace the governance debt of the cloud era. The stakes aren’t just financial penalties anymore. For IP-dependent industries, a single prompt can leak years of R&D or regulatory filings to foreign competitors.