Generative AI is now part of daily work and daily life. That speed created a new class of risk: shadow AI — employees using public GenAI tools outside approved channels, often through personal accounts, where sensitive data can leave before security teams know.
Shadow AI is the use of AI tools or features without formal approval, procurement, or security oversight. It often looks like productivity: drafting in ChatGPT, summarizing in a free assistant, debugging in an unsanctioned coding bot. The threat is not “AI exists” — it is uncontrolled access and invisible data flows.
Every figure below is tied to a named source and year. Definitions of shadow AI vary by study; we keep those years visible.
of organizations suspect or have evidence that employees use prohibited public GenAI
Gartner survey of 302 cybersecurity leaders (Mar–May 2025), cited in Gartner newsroom, 19 Nov 2025
of enterprises are predicted to experience security or compliance incidents linked to unauthorized shadow AI by 2030
Gartner prediction, same newsroom release (19 Nov 2025)
of organizations block public generative AI by default
Gartner 2025 Cybersecurity Innovations in AI Risk Management and Use survey, as reported in industry coverage summarizing the survey
Additional vendor studies report high paste rates into GenAI and rising sensitive content shares; treat those as directional unless a specific secondary source is named on-page.
AI in the workplace is no longer one chatbot. It includes consumer assistants, embedded AI in productivity suites, coding agents, image/video tools, and meeting note-takers. Consumer life trains the same habit: open a tab, paste context, get an answer. That habit crossed into work faster than many governance programs.
Security programs need controls that match that reality: decide access in real time, verify identity (SSO), and keep a record — not only write a policy memo.
A bridge to the product — educational framing, not a hard sell.
GenAI Access Control & Data Security at the point of use — where shadow AI actually happens.
Verified sessions proceed; the rest are blocked by policy before data can leave into an unapproved tool.
Allowed, blocked, and flagged events support review and response when security teams need a record.
One extension alongside the tooling you already run — without claiming to replace every control you have.
No FERPA, SOC 2, GDPR, or similar “compliant” claims — and no guarantee of preventing every leak. Controls reduce uncontrolled access; they do not erase every risk.
See how audits use allow/block evidence, walk through How It Works, or browse the living AI Platforms catalog.
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