“What immediately struck me was the model for depicting classes or groups of data. Visually, the bubble chart, or whatever we want to call it, looked very similar to how I typically see data. That familiarity made it easy for me to translate what I was looking at.”

“Even with just a couple of clicks, I ended up spending close to an hour exploring last night. It’s exciting to see how many of these pieces are coming together.”

"Cyberhaven's vision for a unified data security platform is far superior to standalone DLP and DSPM tools. A single architecture makes it possible to continuously assess data risk without stitching together multiple systems. By bringing data lineage, AI-driven classification, and agentic AI controls together, Cyberhaven enables security teams to protect sensitive data without slowing the business down."

“We’re looking for an experience that goes beyond Google DLP. If you’ve built the classifications that enable us to simply use natural language, like, ‘go find this for me’, that’s significantly better.”

“I’ve performed a bit of testing, and the results are strong. The LLM categorization appears accurate, and I haven’t seen any mislabeled items. Overall, the early indications are very promising. In my initial view, it’s working very well.”

“I look forward to getting full visibility into the data. This will help exponentially in being able to get visibility into just how much access an individual has across multiple apps."