Privacy Filter: A critical control for enterprise Generative AI
By Stefan Dumitrescu, Principal Analyst at Gartner
Generative AI is becoming embedded in day-to-day business operations as organisations increasingly use AI tools to support employee productivity, customer interactions, content creation, and decision making. As adoption expands, so does the volume of sensitive information flowing into AI systems.
Employees and automated processes are routinely sharing personal data, credentials, trade secrets, source code, financial information, and privileged legal content through generative AI applications.
Much of this data is not easily identified by conventional security controls, leaving organisations with limited visibility into what is being exposed. Once data reaches an AI provider, it may be retained, logged, or otherwise processed, creating risks that organisations cannot easily reverse. organisations therefore need an enforcement point that prevents sensitive data exposure before information leaves their control.
Why Vendor Privacy Controls Are Not Enough
Many organisations depend on privacy controls offered by AI providers to manage these...
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