Identify current weaknesses in your defenses. Prioritize remediation. See security risk prior to compromise.
Illuminate your network.
Gain a consolidated, continuous view of your network security risk. Our approach inventories all your network devices so you always know what's connected and where hotspots are. A powerful analytics engine uses embedded AI and machine learning techniques – combined with signatures, user-created analytics, peer group analysis and composite risk scoring – to reduce MTTD. And by analyzing and validating data across multiple dimensions, you can quickly uncover cyber hygiene gaps across your network.
Reduce analytics and technology complexity.
Stop manually assembling the security data puzzle. Connect data from existing security tools to improve ROI. Capture all your network flow data in real time, and enrich it with user/identity, endpoint, threat and other data (in real time or batch), providing deep context for the analytics engine. Alert prioritization is focused, allowing you to allocate resources effectively and advance security automation.
Expand your security analytics capabilities.
Stay on top of changing cyber threats within your environment by developing custom detection models. Govern open source users in a common AI framework.
End data issues.
Free security operations from data preparation. Our data management capabilities go beyond simple extract, transform and load (ETL). Easy-to-deploy workflows target and improve security data quality – and that ultimately translates to increased security operations efficiency and reduced MTTR.
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