Topic

Shadow AI

Shadow AI refers to artificial intelligence systems and tools deployed within an organization without formal approval, oversight, or documentation by IT and governance teams. These unauthorized AI implementations pose significant compliance and security risks, as they fall outside established data protection protocols, model validation frameworks, and regulatory requirements. For enterprises subject to regulations like GDPR, HIPAA, or SOX, shadow AI creates audit gaps and potential violations while undermining efforts to maintain consistent governance standards across the organization.

1 item

ResearchGlobal2025-05-30

Shadow AI and Client-Side Widgets Create an Inventory Gap That Existing Controls Do Not Cover, Kiteworks Analysis Finds

Kiteworks published a research piece on May 30, 2025, framing the central AI governance challenge as an architecture and visibility problem rather than a policy problem. The analysis identifies shadow AI deployments, embedded client-side scripts, third-party AI widgets, and fragmented controls as the primary blind spots undermining enterprise AI oversight. It recommends continuous inventory, Content Security Policy and script allowlists, third-party AI monitoring programs, joint incident response planning, and treating AI widgets as data processors under applicable privacy frameworks.

shadow AI third-party risk data privacy AI inventory vendor management