Kompromittierte Nutzer und Lateral Movement erkennen

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Kompromittierte Nutzer und Lateral Movement erkennen

2017 basierten 80 % der Hackerangriffe auf gestohlenen und/oder schwachen bzw. leicht zu erratenden Passwörtern. Benutzer stellen also Ihre größte Stärke und zugleich Ihr größtes Risiko dar. InsightIDR nutzt maschinelles Lernen, um Verhaltensmuster Ihrer Anwender zu erkennen und die Nutzung gestohlener Zugangsdaten oder ungewöhnliches Lateral Movement automatisch zu melden.

Get prioritized alerts

With InsightIDR, any notable behavior exhibited by your users is saved and powers a Risky User Ranking, helping you proactively prioritize areas to invest your time. Receive just 10-15 alerts per day, all highlighting the key things you need to know about your network.

Detect the use of stolen credentials

InsightIDR automatically correlates activity on your network to the users and entities behind them, making it easy to spot risky behavior. By continuously baselining healthy user activity in your organization, InsightIDR extends beyond defined indicators of compromise to reliably detect attackers masking as company employees.

Trick attackers with deception technology

Not all signs of the attacker are present in your log data. That's why InsightIDR comes with its own suite of intruder traps, which include Honeypots, Honey Users, Honey Credentials, and Honey Files. These surface earlier signs of compromise that other tools miss.

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