amazee.ai to discuss Shadow AI and enterprise data privacy during Swiss {ai} Weeks The company will host a webinar on how to securely adopt enterprise AI. amazee.ai, a Mirantis company, is a provider of private and sovereign AI infrastructure and services. It will host the webinar on 16 September at 3 p.m. CEST. The session will be hosted as part of the Swiss {ai} Weeks event. Focus will be on risk around unauthorized use of public AI tools.
The webinar is titled “Shadow AI and Your Data: What Happens After You Press Enter?” It targets enterprise IT, security, legal, compliance, and executive leaders. The discussion will examine data privacy and security concerns surrounding Shadow AI. This term describes employees using public artificial intelligence tools without organizational approval. AI tools now support several everyday business activities. Employees use them to code, analyze documents and prepare content.
They are also using AI tools to increase productivity and speed up daily tasks. But an increase in utilization can also bring serious risks to data security. Employees may input proprietary source code into public AI platforms. They may also upload customer data, internal files and other proprietary business information . In many cases, employees may not be aware of what happens after submission. Public AI platforms may log, store, monitor or use the information you provide.
In some cases data can be used to train Models. Furthermore, integrations can provide more pathways of information exposure. As enterprise AI adoption continues to grow, so does the issue. According to HiddenLayer’s 2026 AI Threat Landscape Report, 76% of organizations view Shadow AI as a definite or probable problem.
That figure increased from 61% in the previous year. Therefore, organizations face growing pressure to establish stronger AI governance.
“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 examine what happens after users submit information. The discussion will cover prompts, documents, code, and business data. The experts will explain potential exposure through several data-handling processes. These processes include data retention, model training, system logs, integrations, and human review.
The session will also explore why the corporate AI policy alone cannot solve Shadow AI. Organizations need tools that are sanctioned and technical controls that are enforceable. IT and security teams need more visibility into the use of AI across the enterprise. Greater visibility will enable organizations to identify unmanaged AI activity in their environments. amazee.ai will also talk about how to replace unmanaged AI tools. The strategy will focus on improving security and governance while maintaining productivity for employees.
The company will provide a pragmatic roadmap for private and compliant enterprise AI adoption. This roadmap will address the operational requirements associated with responsible AI deployment. The session will end with a live Q&A discussion. Participants will have an opportunity to raise questions about enterprise AI security and governance. The webinar comes as organizations accelerate their use of artificial intelligence. But AI adoption can outstrips supporting policies and infrastructure.
This means that organizations need to consider security and compliance requirements in parallel with AI deployment. Shadow AI creates other issues, since employees may choose to use tools without formal approval. Cooperation across multiple business functions is therefore necessary for effective governance. IT teams, cybersecurity practitioners, legal, compliance and business leaders all have important roles to play.
Also, organizations need enterprise AI environments that have capabilities that are valuable. At the same time, those environments need to establish clear security boundaries. Data governance is another key piece of responsible AI adoption. Companies need to know how sensitive information flows through standard artificial intelligence systems. They also need to have controls in place that protect proprietary and customer information. These steps can help organizations to limit unnecessary exposure and encourage innovation.
Creating Safe Enterprise AI Adoption
amazee.ai wants to help organizations move from ungoverned AI usage to governed enterprise AI. The company will focus on secure access to powerful AI models. This means employees get useful AI capabilities in trusted environments. It also provides increased controls on sensitive data and compliance. Organizations can offer safe alternatives instead of restricting. This approach can help bring down Shadow AI and still keep workplace productivity up.
The webinar will therefore link AI security to real-world enterprise adoption. It will also underline the importance of combining policy with technical enforcement. This approach enables organizations to enhance governance for enterprise AI environments. This enables leaders to better align AI adoption with security and compliance needs. As the Shadow AI challenge grows, the need for stronger enterprise controls is clear. Collaboration, technology and clear governance, however, can help organizations tackle the issue.
In a webinar hosted by amazee.ai, enterprise leaders will be given practical considerations for that transition. The session will discuss how to build secure, private, compliant AI environments. At the end of the day, responsible enterprise AI adoption is about more than just limiting public AI tools. “Organizations need to give employees the ability to use secure solutions with confidence.” Companies can manage AI more effectively by combining AI governance, data privacy, security controls and practical access. This method can help organizations promote innovation without revealing sensitive enterprise information.
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News Source: Businesswire.com
