How GenAI is putting sensitive data at risk

As enterprises adopt AI, sensitive data proliferation across GenAI applications, copilots, and private AI infrastructure creates security and compliance gaps. Research shows 43% of enterprises faced sensitive data loss via generative AI in the past year, while 60% lack visibility into half their data estate.

This report outlines strategies for holistic AI data security, including:

• Discovering and classifying sensitive data in public/private AI environments
• Using AI Security Posture Management (AI-SPM) to mitigate vulnerabilities
• Addressing fragmented global AI compliance challenges

Read the Analyst Report to enhance your AI security posture.