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Shadow AI: The Data Leakage Risk Hiding in Your Organization

Employees are pasting sensitive data into ChatGPT, Claude and Copilot every day. Here is how to discover and govern shadow AI usage.

Category: AI Security

Tags: AI Security, DLP, Shadow AI

Published: 6/10/2026

Author: Digital Defense

The Rise of Shadow AI

Generative AI adoption has outpaced security governance in nearly every enterprise. Employees use unsanctioned AI tools to summarise documents, write code and analyse data - often pasting confidential information into public models.

Real Risks We See in Assessments

  • Source code shared with public LLMs
  • Customer PII in prompt history
  • API keys and credentials leaked through AI browser extensions

A Practical Governance Approach

Discovery first: you cannot govern what you cannot see. Use CASB/SSE telemetry to inventory AI tool usage. Then classify use-cases, define an AI acceptable-use policy, and deploy DLP controls tuned for prompts.

Digital Defense offers Shadow AI discovery assessments and AI DLP architecture services using Cyberhaven, Netskope, Zscaler and Microsoft Purview.