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   New research reveals AI is fueling an 'unprecedented surge in cloud security   
   risks'   
      
   Date:   
   Fri, 19 Dec 2025 16:35:00 +0000   
      
   Description:   
   Businesses are rushing to deploy AI, creating overly permissioned,   
   misconfigured systems.   
      
   FULL STORY   
      
   Rapid enterprise adoption of Artificial Intelligence ( AI ) tools, and   
   cloud-native AI services, is significantly expanding cloud attack surfaces    
   and putting businesses at more risk than ever before.    
      
   This is according to the  State of Cloud Security Report , a new paper   
   published by cybersecurity researchers Palo Alto Networks.    
      
   According to the paper, there are a few key problems with AI adoption; the   
   speed at which AI is being deployed, the permissions it is being given,   
   misconfigurations, and the rise in non-human identities.   
      
   Permissions, misconfigurations, and non-human identities   
      
   Palo Alto says organizations are deploying workloads faster than they can   
   secure them - often without full visibility into how the tools access,   
   process, or share, sensitive data.    
      
   In fact, the report states that more than 70% of organizations now use   
   AI-powered cloud services in production, up sharply year-on-year. This speed   
   at which these tools are deployed is now seen as a major contributor to an   
   unprecedented surge in cloud security risk.    
      
   Then, there is the problem of excessive permissions. AI services frequently   
   require broad access to cloud resources , APIs, and data stores - the report   
   shows that many organizations grant overly permissive identities to AI-driven   
   workloads. According to the research, 80% of cloud security incidents in the   
   past year were linked to identity-related issues, not malware.    
      
   Palo Alto also pointed to misconfigurations as a growing problem, especially   
   in environments supporting AI development. Storage buckets, databases, and AI   
   training pipelines are often exposed, which is something threat actors are   
   increasingly exploiting, instead of simply trying to deploy malware.    
      
   Finally, the research points to a rise in non-human identities , such as   
   service accounts, API keys, and automation tokens that AI systems use. In    
   many cloud environments, there are now more non-human identities than human   
   ones, and many are poorly monitored, rarely rotated, and difficult to   
   attribute.    
      
   The rise of large language models (LLMs) and agentic AI pushes the attack   
   surface beyond traditional infrastructure, the report concluded.    
      
   Adversaries target the tools and LLM systems, the underlying infrastructure   
   supporting model development, the actions these systems take, and critically,   
   their memory stores. Each represents a potential point of compromise.    
      
   ======================================================================   
   Link to news story:   
   https://www.techradar.com/pro/security/new-research-reveals-ai-is-fueling-an-u   
   nprecedented-surge-in-cloud-security-risks   
      
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