A cracked governance fortress with sensitive corporate documents streaming out into a data vortex of chat prompts and file icons
AI Governance

The 18,000 terabyte data leak: governing shadow AI.

AI & Digital ExecutionApplied Philosophy & Resilience

The Observation

Enterprise data transfers to machine learning apps hit 18,033 terabytes in 2025. That is a 93 percent year-over-year jump. ChatGPT alone triggered more than 410 million data loss prevention violations.

The Analysis

Adoption is skyrocketing, but governance is stuck in the mud. While 73 percent of organizations use AI tools, only 7 percent actually govern them with real-time policy enforcement. Employees keep pasting sensitive company info into generative models via personal accounts. Your team does not understand that these systems train on their input, so they treat public prompts like private notebooks.

The Tactical Step

Deploy real-time policy enforcement tools right now. Block access to unauthorized generative apps at the network level. Create a strict tech-literacy baseline so your staff understands the difference between a secure internal server and a public language model.

Question for the network

Do you have real-time governance over your AI traffic, or are your employees feeding corporate data into public models?

#CyberSecurity#DataProtection#RiskManagement#ShadowIT#ZeroTrust

References

  • Zscaler: ThreatLabz 2026 AI Security Report
  • Cyera: AI Risk and Readiness Report 2026

By Michael Lennard Gnaedinger. © 2026 Gnaedinger Consultancy. All rights reserved.

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