Safetica Data Protection Trends Report:

What 2025 reveals about internal data risk in 2026

A benchmark look at how sensitive data exposure is shifting across everyday work: AI tools, collaboration channels, screenshots and free-form text, USB, and encrypted messaging, drawn from aggregated, anonymized Safetica telemetry across Q3–Q4 2025.

Research period: Q3–Q4 2025 (H2 2025)
Source: aggregated + anonymized Safetica-protected environments
Focus: blocked activity, policy violations, insider risk signals, risky apps & websites

Safetica Data Protection Trends Report Cover

Why this report matters


Security teams can’t protect data by chasing “bad apps” anymore. Today’s risk is embedded in normal work behavior like email, web apps, cloud sharing, instant messaging, and AI tools. As controls tighten, users adapt and shift channels, concentrating exposure in the fast, convenient tools they already trust. 

Safetica Data Protection Trends gives security leaders a benchmark for what’s changing so you can respond with context-aware controls that protect more and disrupt less. 

Inside the report:

 

  • Why data risk now lives inside trusted, everyday tools, not rogue apps

  • How AI-tool risk is consolidating into a handful of mainstream platforms

  • Why data loss has moved beyond documents into screenshots and free-form text

  • Where sensitive data most commonly leaves the organization

  • Why USB has quietly returned as a behavioral insider-risk signal

  • How users adapt when blocked and why channel switching is accelerating

  • Which early signals tend to surface before insider risk becomes an incident

  • Why encrypted messaging has become the dominant risky app category

What you get

Real numbers. Across blocked activity, policy violations, risky apps, and insider risk signals.

A clear picture of travel. Where exposure is growing vs. declining, Q3 → Q4, not a single snapshot.

Practical implications. What the shifts mean for a modern DLP and insider risk program.

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About the research

In H2 2025, Safetica analyzed hundreds of thousands of blocked internal activities including policy violations, risky website/app access, unusual sensitive-data handling, and attempted transfers to external devices. The data represents aggregated, anonymized observations from Safetica-protected environments across industries.