Shedding Light on Shadow AI

The Reality: You Have an “Invisible” Workforce

In 2026, the biggest threat to your company isn’t the AI you’ve bought—it’s the AI you don’t know your employees are using. This is known as Shadow AI, and it’s currently running rampant in the blind spots of most organizations.

Right now, your employees are likely using AI to be more productive. But because there isn’t a formal path, they are using personal accounts, unvetted browser extensions, and “free” tools that pay for themselves by harvesting your corporate data.

• The 60% Rule: Industry data shows that over 60% of AI tools in the enterprise operate outside of IT visibility.
• The Leakage Point: Every time an employee “just quickly” runs a sensitive contract or a piece of proprietary code through a public chatbot, that data potentially becomes part of a public training set.
• The Compliance Gap: You cannot comply with the EU AI Act or data privacy laws if you cannot produce a list of what AI is actually processing your data.

The Solution: The “Discovery” AI Audit

An AI audit is no longer just about checking the boxes on a known system; it is a forensic discovery mission to map your company’s true AI footprint.

We answer the three critical questions:

1. Who is using it? (Identifying heavy-use departments—often Marketing, Engineering, or HR).
2. How are they using it? (Are they summarizing meetings, writing code, or analyzing customer PII?).
3. What AI are they using? (Mapping the “Big Three”—ChatGPT, Gemini, Claude—plus the hundreds of niche “Shadow” plugins and APIs).

What a Discovery Audit Delivers

This is a low-touch, high-impact engagement that provides an immediate “Map of the Land.”

The Bottom Line

You cannot govern what you cannot see. An AI audit replaces your “Shadow AI” problem with an Authorized AI Strategy. It allows you to say “Yes” to innovation because you finally have the visibility to say “No” to the risks.