User Behavior Analytics

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Monitor users and credentials

In 2017, 80% of hacking-related breaches used either stolen passwords and/or weak or guessable passwords, per the Verizon DBIR. Attackers are compromising assets not only via malware, but by moving laterally between them using credentials stolen by traffic manipulation, hash extraction, a­­nd other techniques. By continuously baselining healthy user activity in your organization, InsightIDR extends beyond defined indicators of compromise to reliably detect attackers masking as company employees.

Easy visibility across all your users

For most security teams, retracing user activity across assets, accounts, and cloud services requires concentrated, manual effort. InsightIDR automatically correlates activity on your network to the users and entities behind them, making it easy to spot risky behavior.

Machine learning baselines user activity

If an attacker impersonates as one of your users, it can be hard to spot. InsightIDR adapts to the users and entities on your network, highlighting risky behavior while understanding "normal". This helps you immediately detect lateral movement and the use of stolen credentials.

High-fidelity alerts with user context

Any notable behavior exhibited by your users is saved and powers a Risky User Ranking, helping you proactively prioritize areas to invest your time. Every alert in InsightIDR automatically surfaces notable user and asset behavior on a visual timeline.

Spot misconfigurations and improve security posture

Gain full visibility into users across your network, endpoint, and cloud services to identify insider threats, Shadow IT, and enforce least-privilege. Visual log search and pre-built compliance cards enable you to spot anomalies in your data and report on success—without a complex search language.

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