Sensitive Data Exposure via GenAI

28 May 2026 09:30 AM CST

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Webinar Overview

Generative AI tools are now part of everyday work - you use them to write emails, generate code, analyze data, and create content quickly. But this convenience comes with a hidden risk: sensitive information can be exposed without you even realizing it.In many cases, employees paste confidential data - like source code, internal documents, customer details, or business plans - into AI tools just to get faster results. The problem is that some of these tools may process, store, or log that data, which can lead to data leaks, compliance issues, or even unauthorized access. Most of the time, this isn’t intentional. It happens because people are trying to work efficiently. For example, a developer might paste company code to debug an issue, or someone might upload internal financial data to generate a report. Once that data is shared, you no longer have full control over where it goes or how it might be used. There are a few key risks to keep in mind. Data entered into AI tools may be retained, used to improve models, or exposed through third-party integrations and plugins. On top of that, there is often very little visibility into how and where your data is being handled. All of this makes it harder for organizations to protect sensitive information, maintain privacy, and stay compliant with regulations. To manage these risks, clear boundaries are essential. Define what kind of data can and cannot be shared with AI tools. Make sure employees understand data sensitivity through classification and awareness programs. Use only approved AI tools that offer proper security controls. Monitor how data is being shared, and most importantly, train employees to use AI responsibly.

Key Points

AI tools are powerful, but they should not become a channel for data leakage.
Use only approved AI tools that offer proper security controls
Monitor how data is being shared

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Prem Kumar

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Sensitive Data Exposure via GenAI