Cyberhaven Labs
Cyberhaven Labs analyzes billions of real-world data events across millions of users to uncover how employees actually use AI, where sensitive data goes, and what risks emerge before they make headlines. These aren't surveys or predictions—they're insights derived from data. Use them to benchmark your organization, anticipate threats, and make smarter security decisions.
Data Intelligence
See what's happening. Dynamic data visualizations reveal live AI adoption trends, risk patterns, and security blind spots across industries.
Research Reports
Intelligence derived from analyzing billions of real workspace events. Use these reports to benchmark risk, spot emerging threats, and build your business case for better data
2026 AI Adoption & Risk Report
Explore the 'Second Wave' of AI adoption. Based on data from 222 companies, this report analyzes enterprise AI deployment, security governance challenges, and the AI Adoption Gap.
Financial Services AI Report: A 17x Gap Between Leaders and Lagg...
Financial services leads on agentic AI with 79.7% adoption, but a 17x gap between frontier and cautious firms reveals a divided industry.
Professional Services AI Report: Why Agentic Adoption Lags 11%
Professional services firms favor creative and client-facing AI over productivity tools, with 82% of tools carrying medium-to-critical risk.
Manufacturing AI Report: Polarized Adoption From 30 to 300 Tools
Manufacturing AI adoption is polarized—frontier orgs use nearly 300 GenAI tools while cautious ones use 30, and legacy OT keeps agentic adoption at 50%.
Navigating Security for AI: The View from the Front Lines
AI is transforming data security. While most organizations use AI to create value, fewer than one-third have adequate protection. Learn how security leaders are tackling this challenge.
2025 AI adoption & Risk Report
How 7M workers use AI: Tool rankings, risk levels, industry adoption, and data exposure patterns.
Articles
Deep dives into emerging threats, tool-specific research, and real-world attack patterns discovered through our platform
Why Fragmented AI Adoption Poses a Major Data Risk
Uneven AI adoption concentrates data security risk. Learn why fragmented AI rollouts create blind spots and how to protect enterprise data paths.
Redefining Data Security: From Insight to Action
Discover how a unified data security platform combines DSPM, DLP, and data lineage to eliminate tool sprawl and enable real-time protection from endpoint to cloud.
How Generative AI is Changing the DLP Landscape
Legacy DLP can't detect generative AI risks. Learn why browser-based data lineage stops AI data leakage without blocking productivity.
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