Webinar explains what happens to sensitive data entered into public AI tools and provide a practical framework for secure, governed enterprise AI adoption
amazee.ai, a Mirantis company providing private and sovereign AI infrastructure and services, announced that it will sponsor a webinar, “Shadow AI and Your Data: What Happens After You Press Enter?,” on September 16 at 3 p.m. CEST as part of the Swiss {ai} Weeks event.
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Designed for enterprise IT, security, legal, compliance and executive leaders, the webinar will examine the data privacy and security risks created when employees use public artificial intelligence tools without organizational approval or oversight – a practice commonly referred to as Shadow AI.
AI tools are increasingly used to write code, analyze documents, draft content and accelerate every day work. However, employees may also enter proprietary source code, customer information, internal documents and other sensitive data into public AI platforms without understanding how that information may be logged, retained, reviewed, used for model training or shared across integrations.
The scale of the issue is growing. According to HiddenLayer’s 2026 AI Threat Landscape Report, 76% of organizations consider Shadow AI a definite or probable problem, up from 61% the previous year.
“Employees turn to public AI tools because they make people more productive, and simply prohibiting their use rarely eliminates the demand,” said Thomas Schröpfer, go-to-market program manager for AI Products at amazee.ai. “Organizations need to give employees a secure and practical alternative – one that provides access to powerful AI models while establishing clear controls over sensitive data, governance and compliance. The goal should be to bring AI use into a trusted environment, not drive it further into the shadows.”
Moving From Shadow AI to Governed Enterprise AI
During the webinar, amazee.ai experts will explain:
- What can happen after prompts, documents, code and business data are submitted to public AI services;
- Where information may be exposed through data retention, model training, system logs, integrations and human review;
- Why written corporate AI policies are insufficient without approved tools and enforceable technical controls;
- How IT and security teams can improve visibility into enterprise AI use;
- How organizations can replace unmanaged AI tools with secure, governed access without sacrificing employee productivity;
- What a practical roadmap for private, compliant enterprise AI adoption can look like.
The session will conclude with a live question-and-answer discussion.
The webinar reflects a broader challenge facing organizations: AI adoption is often moving faster than the policies and infrastructure needed to govern it. Addressing Shadow AI requires collaboration among IT, cybersecurity, legal, compliance and business leaders, along with an enterprise AI environment that gives employees useful capabilities within clearly-defined security and data-governance boundaries.
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