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Watch On-Demand: Shadow AI and Your Data — What Happens After You Press Enter?

Sep 21, 2026•By Thomas Schröpfer•2 min read

In Short: Webinar - Shadow AI and Your Data

  • The Problem: As employees adopt public AI tools to boost everyday productivity, unmanaged usage creates "Shadow AI" risks, exposing sensitive code, files, prompts, and customer data.
  • The Hidden Risk: Written AI policies alone cannot stop data exposure, which often occurs behind the scenes through prompt logging, long-term retention, model training, and vendor reviews.
  • The Solution: Discover how organizations can transition from unmanaged AI use to governed, secure access, giving teams the AI tools they need without sacrificing data privacy or compliance.
  • Event Details: Hosted as part of Swiss (ai) Weeks on September 16, 2026, at 3:00 PM CEST, online via Zoom.

AI is now part of everyday work, but rapid adoption is frequently outpacing enterprise governance. In this on-demand webinar recorded during Swiss {ai} Weeks, you’ll learn what really happens to prompts, code, files, and business data after submission to public AI tools, where data exposure risks occur, and how to give your teams safer, controlled access to AI without slowing down productivity.

This webinar is ideal for IT, security, legal, and business leaders who need to manage Shadow AI risks, protect corporate and regulated data, and establish practical AI governance.

What You’ll Learn

  • Data Lifecycle & Exposure Risks: What happens to your prompts, uploads, code, and confidential business data across retention, model training, integrations, and human review?
  • Why AI Policies Aren't Enough: Why well-meaning employees accidentally expose sensitive data and why written guidelines alone fail to curb unmanaged usage.
  • Evaluating AI Tools & Vendors: Key questions to ask technical vendors and internal teams before approving public or third-party AI tools.
  • Governed AI Access in Practice: Practical frameworks to transition your organization from unmanaged Shadow AI usage to safe, compliant, and governed AI access.

Who Should Watch

  • IT Leaders & Security Professionals: Teams managing enterprise risk, data residency, and platform security who need to protect sensitive information without creating operational friction.
  • Legal, Compliance & Governance Teams: Leaders responsible for privacy regulations, risk management, and building enforceable internal AI policies.
  • Executives & Operations Leaders: Business leaders driving AI transformation and productivity who want to ensure responsible, secure AI adoption across their organization.
Meta image of Thomas Schröpfer, Go-to-Market Program Manager AI Products at amazee.ai, smiling at the camera.

Author

Thomas Schröpfer, Go-to-Market Program Manager AI Products

Thomas Schröpfer is the Go-to-Market Program Manager AI Products at amazee.ai. A cross-functional operator with a career rooted in visual design, user experience, and product strategy, he connects product, marketing, sales, and engineering to bring enterprise AI to market, translating complex technical architectures into intuitive, valuable, and trustworthy AI experiences. He works at the intersection of AI go-to-market and AI governance, data residency, and responsible enterprise AI adoption, and holds an AI Governance credential from Saïd Business School (University of Oxford) alongside generative-AI certifications from IBM, Google, and Vanderbilt University.

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