Cyberhaven Introduces AI Application Risk Checker to Target Enterprise Security Demand

According to a recent LinkedIn post from Cyberhaven, the company is emphasizing growing concerns around the use of AI tools inside enterprises and the associated security risks. The post cites research from Cyberhaven Labs suggesting that most AI tools observed in enterprise environments fall into high or critical risk categories, and that more than 80% of enterprise data sent to AI is directed to those higher‑risk tools.

The post highlights the launch of Cyberhaven’s AI App Risk Checker, a public tool that allows users to look up an AI application, receive an overall risk rating, and review a plain‑language explanation of the scoring. The offering is described as being based on the firm’s AI App RiskIQ dataset and methodology, which also underpins its Security for AI product and AI Adoption & Risk Reports.

According to the description, the public checker surfaces high‑level scores and summaries, while more granular analysis on factors such as data sensitivity, model security, compliance, access controls, and infrastructure is available within the broader Cyberhaven platform. The post also notes that the tool is linked to telemetry from customer environments, and that users receive three free risk checks, with the option to request assessments for AI apps not yet in the database.

For investors, the post suggests Cyberhaven is positioning itself as a security layer for enterprise AI adoption by productizing its internal research and datasets into a freemium entry point that could feed into upsells of its core platform. If enterprises continue to expand AI usage while regulators and boards increase scrutiny of data and model risk, demand for tools that quantify and manage AI application risk could support Cyberhaven’s customer acquisition, pricing power, and long‑term growth trajectory in the data security and AI governance markets.