Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cyberhaven Spring 2025 Product Launch

AI Took Off. We’re Launching the Controls. Discover how Cyberhaven is rewriting the rules of AI data security. Our newest innovation is too big to call a feature — it’s a new frontier. AI changed everything... fast. Productivity soared, but so did risk. Employees embraced AI, and data raced across tools without oversight. The question isn’t if your organization is using AI — it’s how much risk it’s exposing in the process.

Cyberhaven Winter 2025 Product Launch

Join us for the exclusive unveiling of Cyberhaven's next evolution, hosted by our leadership & product teams. We're (once again) changing the way companies visualize, detect, and protect their data. Be the first to see what's next. Imagine if You Could: Discover how Cyberhaven is setting the gold standard for the future of data security in the age of AI.

Cyberhaven Spring 2025 Product Launch

AI Took Off. We’re Launching the Controls. Discover how Cyberhaven is rewriting the rules of AI data security. Our newest innovation is too big to call a feature — it’s a new frontier. AI changed everything... fast. Productivity soared, but so did risk. Employees embraced AI, and data raced across tools without oversight. The question isn’t if your organization is using AI — it’s how much risk it’s exposing in the process.

Security for AI: enabling secure AI adoption across the enterprise

AI is transforming productivity across every industry—from marketing and design to legal and engineering. But while employees rush to embrace tools like ChatGPT, Gemini, and Microsoft Copilot, many are using other tools without oversight from IT or security. As this grassroots usage grows, so does the volume—and sensitivity—of data flowing into AI tools.

AI Usage at Work Is Exploding - But 71% of Tools Put Your Data at Risk

As AI becomes deeply integrated into critical business operations and adopted by increasing numbers of departments and employees, the volume and sensitivity of data flowing into these systems has grown exponentially. Companies now face a dual challenge: harnessing AI's potential while managing the substantial data risks it introduces.