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   Data needed for GenAI is putting businesses at risk   
      
   Date:   
   Mon, 31 Mar 2025 09:45:05 +0000   
      
   Description:   
   Enterprises are sharing more data with AI tools, so need to be better   
   prepared.   
      
   FULL STORY   
      
   Enterprises have seen a staggering 30x increase in the amount of data they   
   share with generative AI apps in the past year alone, highlighting the huge   
   potential for vulnerabilities without the right amount of protection, new   
   research has declared.    
      
   Findings from Netskope claim the average organization now shares 7.7GB per   
   month with such apps, up from 250MB in 12 months.    
      
   Among the data shared is sensitive information, like source code, IP,   
   regulated data, passwords and keys - with Netskope now urging businesses to   
   consider how they share their data with third parties.   
      
   Sharing sensitive data with GenAI apps   
      
   Although many instances relate to the proper use of AI tools , Netskopes   
   research highlights the alarming rise of shadow AI, defined as artificial   
   intelligence tools that employees use without authorization or approval from   
   their companies. Nearly three in four (72%) enterprise users use GenAI apps   
   with personal accounts for work.    
      
   On the whole, enterprises are struggling to keep up with the pace of AI tool   
   adoption, and a great example of this is DeepSeek AI. Nine in 10 (91%)   
   enterprise users had used DeepSeek within weeks of launch, but most companies   
   lacked robust security policies.    
      
   Netskope also criticized enterprises for adopting a block-by-default approach    
    by restricting user access to AI tools, workers are more likely to engage   
   with shadow AI, putting businesses at an even higher risk. Instead, companies   
   should consider safely enabling them.    
      
   Interestingly, the report reveals a notable trend toward local GenAI   
   infrastructure, with 54% of organizations running local versions compared    
   with fewer than 1% a year ago.    
      
   [GenAI is] becoming increasingly integrated into everything from dedicated   
   apps to backend integrations, said Ray Canzanese, Director of Netskope Threat   
   Labs.    
      
   This ubiquity presents a growing cybersecurity challenge, demanding   
   organizations adopt a comprehensive approach to risk management or risk    
   having their sensitive data exposed to third parties who may use it to train   
   new AI models, creating opportunities for even more widespread data    
   exposures, Canzanese added.    
      
   Looking ahead, Netskope is urging enterprises to assess their tools, users    
   and use cases to provide safer and more personalized solutions.   
      
   ======================================================================   
   Link to news story:   
   https://www.techradar.com/pro/data-needed-for-genai-is-putting-businesses-at-r   
   isk   
      
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