Shadow AI: 1 in 5 Breaches, +$670K Extra Cost

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 part of the 69% of enterprises that suspect unauthorized AI usage according to Gartner.

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

Sarah, Marketing Director, copies her list of 500 customers into ChatGPT to generate personalized emails. She saves 2 hours. She doesn't know this data could be used to train the model.

Mike, Senior Developer, pastes proprietary code into GitHub Copilot Chat to debug faster. He solves his bug in 10 minutes. 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 processes 50 applications per day instead of 10. 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 end up in an AI provider's logs for months.

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 often reveals 3x more AI tools than IT thought were authorized.

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. Discover all AI tools in use across the organization
2. Assess the risk level of each tool and usage pattern
3. Prioritize remediation based on actual exposure
4. Implement governance frameworks that enable 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 clear risk score (from A to F)
• The categories of AI tools likely in use
• 3 immediate action priorities
• A governance roadmap

Free. No commitment. Instant results.