ArcSight Interset empowers security teams to find and respond to unknown threats – before it’s too late.
Detect insider threats or targeted attacks by learning the unique normal behavior of every entity and detecting the most anomalous behaviors. Learn more.
Investigate risks quickly via an intuitive UI and comprehensive API that shows unusual activities as they relate to previous and peer behaviors. Learn more.
Distill billions of events into a list of prioritized threat leads, reducing alert fatigue and enabling you to focus on the threats that matter. Learn more.
Create a human-machine team in which security teams can bypass manual processes and spend time investigating real risks thoroughly. Learn more.
Execute faster-than-human response with output risk assessments for initiating actions via automation, orchestration, and alerting solutions. Learn more.
Scale to meet the needs of the world’s largest, most sophisticated environments with Interset’s native big data architecture. Learn more.
Explore the latest SecOps trends and real-world insights. Identify the top challenges in security operations and understand best practices for becoming a next-generation SOC.
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With unsupervised machine learning, ArcSight Interset measures “unique normal”– a digital fingerprint of each user or entity, which can be continuously compared to itself or peers. This approach to behavioral analytics enables security teams to detect traditionally difficult-to-find threats, such as insider threats and advanced persistent threats (APTs).
The more context your team has, the faster they can mitigate a security incident. ArcSight Interset provides a contextualized view of the riskiest behaviors in the enterprise and gives SOC teams the right tools to visualize and investigate threats before it’s too late.
Anomaly detection algorithms that expect the same behavior from every entity create a flood of distracting false alerts. ArcSight Interset connects the dots between unusual behavior and real threats by using mathematical probability and unsupervised machine learning to identify the most suspicious entities.
With more accurate and automated targeted attack and insider threat detection, SOC analysts can focus their time on investigating the threats that matter most, via an intuitive user interface (UI) and comprehensive API. Dashboards, timelines, filtering, and search capabilities enable analysts to quickly refine data and logs down to the most relevant information.
With data breaches, time-to-response matters. Interset’s threat detection software enables intuitive, contextualized detection and investigation and enables SOC teams to initiate actions quickly via security orchestration and automation response (SOAR) solutions to begin remediation. ArcSight Interset also provides downloadable reports that summarize immediate risks.
Interset’s native big data architecture and unsupervised machine learning enables the solution to adapt to changes in the threat landscape, as well as to changes in your business. Interset’s machine learning is conducted “online” or in situ in your environment, which means that it can adapt to your data and discover new patterns without human instruction.