Product Spotlight: Reduce False Positives and Surface Real Risk

See how Cyberhaven cuts alert noise and surfaces the risk that matters, from testing policies before deployment to AI-driven investigation and detection beyond rule-based policies. Broad policies generate hundreds of alerts. Policies only detect what they have been configured to find. Analysts often lack the context to judge an alert quickly. This Product Spotlight shows how Cyberhaven addresses all three. In this video: Flight Recorder: Test a policy against real data activity before you deploy it, so you can fine-tune it and minimize false positives from the start. Investigator Agents: The Detective Agent prioritizes findings by severity before they reach the incident queue. The Investigator Agent analyzes context and produces an incident report with a severity assessment, summary, supporting evidence, and recommended next steps. Semantic Risk Detection: Linea AI applies Data Lineage and an understanding of user actions and organizational workflows to identify risky activity that existing policies miss. What it means for your team: fewer low-value findings, visibility into risk that rule-based policies overlook, and faster decisions because the evidence and context are already assembled. Request a demo: cyberhaven.com/request-demo Learn more: cyberhaven.com/product