Shadow AI has emerged as the next evolution of shadow IT, with widespread employee adoption of tools such as ChatGPT introducing unmanaged data exposure and autonomous decision risk.

 

For security teams, the challenge is no longer just visibility of unsanctioned tools—but governance over who is using AI, what data is being submitted, and what systems AI is allowed to influence or control.

 

In jurisdictions shaped by the EU AI Act and the UK’s evolving AI regulatory framework, unmanaged AI adoption creates material compliance, operational, and board-level risk.

 

This session outlines a pragmatic control model for securing AI without slowing adoption.