When a SIEM solution, enhanced with top-notch security analytics, supports analysts in threat hunting, time spent on eliminating false positives is drastically decreased, empowering your team to focus on threats which really matter.
Having SIEM as a data source supported by security analytics not only provides a more valuable pool of log data, but it also enables your SOC team to work smarter, not harder by cutting detection and response time in half.
UEBA 2.0 easily connects to LogPoint through a plugin. As a result, there is no need to do any mapping or customization which lowers time to value dramatically.
The deployment architecture is easily scalable for increasing the number of entities and data volume. Our common taxonomy readily gives access to over 400 machine learning models for all devices.
Detected anomalies are used as enrichment sources. Since logs and raw logs can easily be investigated based on the detected anomalies, investigation and forensics can take place immediately.
With UEBA 2.0, your analysts will benefit from:
Dramatic increase in threat-hunting capabilities of your SIEM with UEBA
With UEBA your LogPoint rules gets a new best friend: Entity Risk Scoring. With Entity Risk Scoring your alerting, dashboards, reports and search templates all consume knowledge from the UEBA.
No more pre-defined rules
Using threat modeling based on advanced Machine Learning, LogPoint UEBA easily eliminates false positives, enabling your analysts to achieve situational awareness before, during and after responding to breaches – meaning they are more effective and spend their time on genuine threats. If any changes of behavior occur, the models are automatically adjusted erasing the tedious task of re-writing rules to define what is allowed.
Unlike other solutions, the UEBA 2.0 platform will be available as a service, thus removing unnecessary hassles for hardware and deployment.