How GenAI is putting sensitive data at risk
By Zscaler
DownloadAs enterprises adopt AI, security risks around sensitive data grow more complex. Generative AI tools increase data exposure across public AI platforms, SaaS copilots, and private AI systems. With 43% of enterprises reporting sensitive data loss via generative AI in the past year and global regulations adding compliance pressure, security teams face challenges in maintaining control.
This report explores AI-driven data security risks and strategies to address them, including:
- How GenAI complicates data governance
- The role of AI and Data Security Posture Management
- The impact of shifting global AI regulations
Read the full report to understand AI-era security challenges and build resilience.
Download this Analyst Report


