Key Data Loss Stats from Zscaler
1.3M
incidents leaking SSNs to AI tools
872M
data loss violations to SaaS apps
26.6B
file-sharing violations involving source code
Data@Risk in the AI era
Sensitive data is more vulnerable than ever as enterprises increasingly fuel productivity and innovation with AI tools, file-sharing platforms, and collaboration apps. Drawing on billions of enterprise transactions analyzed in the Zscaler Zero Trust Exchange, the 2025 Data@Risk Report reveals alarming trends in data loss—and actionable strategies to address them.
Explore the evolving challenges in enterprise data security, from data leakage to generative AI applications, to data loss across email, SaaS, and file-sharing. See why enterprises need unified data security strategies to secure every type of data, across every channel, to strengthen their security posture wherever data resides.
Our findings and insights include:
- AI apps are a major data loss vector: AI tools like ChatGPT and Microsoft Copilot contributed to millions of data loss incidents in 2024, particularly Social Security numbers
- SaaS data loss is surging: Spanning 3,000+ SaaS apps, enterprises saw more than 872 million data loss violations
- Email remains a leading source of data loss: Nearly 104 million transactions leaked billions of instances of sensitive data
- File-sharing data loss spikes: Among the most popular file-sharing apps, 212 million transactions saw data loss incidents