In 2017, 80% of hacking-related breaches used either stolen passwords and/or weak or guessable passwords. Users are both your greatest asset and your greatest risk. InsightIDR uses machine learning to baseline your users' behavior, automatically alerting you on the use of stolen credentials or anomalous lateral movement.

Between Metasploit, penetration tests, and our 24/7 Managed Detection and Response service, we're investigating a constant stream of attacker behavior. As part of the investigative process, our analysts directly contribute Attacker Behavior Analytics (ABA) detections into InsightIDR, paired with recommendations and adversary context. These detections leverage the real-time user and endpoint data collected by InsightIDR. The result: the alert fidelity you want, filled with the context you need.

Incident investigations aren't easy when you're facing a mountain of alerts with log data and spreadsheets. Every alert in InsightIDR automatically surfaces important user and asset behavior, along with context around any malicious behavior. Easily pivot from a visual timeline to log search, on-demand endpoint interrogation, or user profiles to scope the incident and take informed action.