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Generative AI has quietly become a part of the SaaS ecosystem that businesses use every day. Platforms like Zoom, Slack, Microsoft 365, and Salesforce now have AI assistants. You can use these tools to do things like write summaries of meetings or perform routine tasks. A recent  survey found that 95% of U.S. businesses now use generative AI. This is a big increase from last year. But this quick growth of AI features is making security leaders worried. Sensitive information could be leaked or used in the wrong way if there aren't enough controls in place. Shadow AI and Its Far-Reaching Risks When employees use AI apps without the knowledge or approval of IT, it creates shadow AI . This is akin to the shadow IT problem of unsanctioned cloud apps, but now with AI services. The unauthorized use of AI platforms can unknowingly expose organizations to data privacy issues, compliance violations, and even disinformation risks. We're already seeing these risks play out. Samsung engin...

Shadow AI is presenting new challenges for security leaders. While AI tools have already revolutionized how we work, they've also created unprecedented security challenges that our traditional strategies or tools simply weren't designed to handle. I've spent the last decade working with organizations grappling with emerging tech risks, and I can tell you that this is different. In this post, we'll talk about why, and more importantly, what you can do about it. The Hidden Risks of AI Adoption: Shadow AI The Wiz research team recently uncovered a publicly exposed DeepSeek production ClickHouse database , leaking chat history, API secrets, and other sensitive data—raising serious concerns for any organization using DeepSeek's models. Truth is that many teams rushed to try out DeepSeek given the hype around its truly advanced technologies. While the DeepSeek situation has been surrounded by FUD, drama, and misinformation, it has also set important precedents for privacy ...