Shadow AI and Your Data: What Happens After You Press Enter?

AI is now part of everyday work, but adoption is often outpacing governance. Teams are using public AI tools to draft content, write code, analyze documents, troubleshoot problems, and speed up work, often with limited visibility from IT, security, legal, or compliance teams.

In this webinar, we’ll look at what happens after company data is entered into a public AI tool, where sensitive information can be exposed, and why Shadow AI creates risk. We’ll also explore how organizations can give teams safer, more controlled access to AI without slowing productivity.

Part of Swiss {ai} Weeks, this session is designed for teams that want to better understand AI risk and move toward safer, more governed use of AI.

🗓️ Date: September 16, 2026

⏰ Time: 3:00 PM CEST

What We’ll Cover

• Why Shadow AI is growing inside organizations
• What can happen to prompts, uploads, files, code, and business data after submission
• Where data exposure can occur across retention, training, integrations, logs, and human review
• Why AI policies alone are not enough
• How to create safer, more usable AI guidance for teams
• What governed AI access can look like in practice
• Open Q&A

Register Now to Save Your Spot!

Join us for this practical session designed to help teams understand the risks of AI, make more informed decisions, and build safer habits around everyday AI use.

What You’ll Learn

• What happens to your information after it is entered into a public AI tool
• Why well-meaning employees can accidentally expose sensitive data
• How public AI tools may handle prompts, uploads, retention, model training, and human review
• What questions to ask before approving AI tools or vendors
• How to balance innovation, productivity, and data protection
• How to move from unmanaged AI usage to governed AI access

Who Should Attend

• IT leaders and security professionals managing AI risk
• Executives and business leaders exploring responsible AI adoption
• Legal, privacy, compliance, and governance teams
• Operations, enablement, and transformation teams creating internal AI policies
• Anyone responsible for protecting company, customer, or regulated data

Our Speakers:

Martin Schlögl: As amazee.io’s Head of Sales, Martin bridges technical software engineering with enterprise business strategy. Holding a Master’s in Software Engineering and Economics with over a decade of industry experience, he specializes in scaling high-growth tech startups and custom software operations, helping enterprise leaders turn complex technical needs into high-impact solutions.

Thomas Schröpfer: As amazee.ai’s Go-to-Market Program Manager for AI Products, Thomas helps organizations safely navigate enterprise AI adoption. Oxford-certified in AI Governance, he specializes in data residency, Shadow AI risk mitigation, and enterprise compliance, helping teams balance AI innovation with strict data protection.