Shadow AI: 1 in 5 Organizations Report a Breach Caused by It

The Question That Matters

How many employees in your company used ChatGPT this week? And with what data?

If you can't answer with certainty, you're not alone: in a 2025 Gartner survey of 302 cybersecurity leaders, 69% of organizations suspected or had evidence that employees were using prohibited public GenAI.

This isn't criticism — it's the reality of 2025. AI is everywhere, and your teams are already using it. The real question: do you know about it?

What's Really Happening

Three illustrative scenarios:

Sarah, Marketing Director, copies her customer list into ChatGPT to generate personalized emails. She saves time. She doesn't know whether this data could be used to train the model.

Mike, Senior Developer, pastes proprietary code into GitHub Copilot Chat to debug faster. He fixes his bug quickly. Your product's source code is now exposed to a third-party service.

Emma, HR Manager, uses an AI tool to summarize candidate CVs. She gets through far more applications each day. These candidates' personal data is now passing through a server whose location she doesn't know.

Common scenarios in your enterprise:

• ChatGPT for processing customer or internal data
• AI summarization tools for confidential documents
• Code assistants on private repositories
• AI writing tools with strategic information
• AI translators for sensitive contracts

What This Means For Your Business

Data Exposure

When an employee pastes information into a public AI tool, that data can be stored, analyzed, or used for training.

In practice: a prompt containing customer data could be retained in an AI provider's logs, outside your control.

Compliance Questions

Most consumer AI tools aren't designed to meet data protection regulations. Using them with sensitive data creates a legal gray zone.

In practice: your compliance officer should know which AI tools are being used and with what data.

Security Visibility

If your security team doesn't know about AI tool usage, they can't assess risks, configure alerts, or respond to incidents.

In practice: an audit can surface AI tools that IT never authorized, or never knew were in use.

AI Security Best Practices

Based on international AI risk management standards, here's what we recommend:

• Inventory first — You can't secure what you don't know exists. Start with a complete discovery of AI tool usage.
• Risk-based approach — Not all Shadow AI is equally dangerous. Focus first on tools processing sensitive data.
• Enable, don't block — Provide approved alternatives for common AI use cases. Blocking without alternatives leads to more Shadow AI.
• Continuous monitoring — AI adoption is accelerating. One-time audits aren't enough.

The QAIZEN Approach

At QAIZEN, we believe the solution isn't to ban AI — it's to govern it intelligently.

Our Shadow AI Audit helps enterprises:

1. Assess how AI is used and governed today, across five dimensions from visibility to incident response
2. Identify the risks their answers reveal, ranked by severity
3. Prioritize the actions that close the biggest gaps
4. Plan governance with a 90-day roadmap that enables safe AI adoption

Take Action

You don't need to ban AI — you need to know what's happening.

Our Shadow AI audit gives you in 5 minutes:

• A governance score with a letter grade from A to F
• Scores on five governance dimensions
• Prioritized recommended actions
• A 90-day governance roadmap, generated on request

Free. No commitment. Instant results.