Data Streaming
Stream high-fidelity data into your SIEM tool,
reduce storage costs and enhance analyst
productivity over 20x
Stream high-fidelity data into your SIEM tool, reduce storage costs and enhance analyst productivity over 20x
Improve Productivity & ROI
Better Data, Better Analytics
- Pre-processing data ingested by SIEM tools such as Splunk, QRadar Sumo Logic reduces security infrastructure data costs
- Improve analyst productivity with more efficient queries
- Extend return on investment of existing SIEM led security solutions
- Interflow™ enriches data and correlates threat intelligence to create context around all records, hence reducing investigation time, and improving response time delivering on open extended detection and response (Open XDR)
- Improve SIEM driven security performance by feeding Interflow enriched network security traffic analytics
- Only high-fidelity, context-rich, actionable events reach the SIEM
What People Are Saying
Jon Oltsik Senior Principal Analyst and ESG Fellow
Central IT Department University of Zurich
Rik Turner Principal Analyst, Infrastructure Solutions
Gartner PeerInsights
Key Features
Slash IT Security
Costs
With a stand-alone SIEM tool , such as Splunk, QRadar or Sumo Logic, users are used to dumping everything in it in the hope that they will catch all known threats by querying that data, but this data can overwhelm a SIEM tool and lead to hours or days of frustration as analysts weed through garbage data to find actionable threats.
Automation of Security Solutions to Scale
Stellar Cyber’s data streaming application uses machine learning and advanced analytics to determine which events are security-related and forwards them to the SIEM tool so analysts can query the reduced data and achieve superior threat-fighting results.
Interflow Delivers
Security Intelligence
Stellar Cyber’s Interflow™ technology reduces, enriches and correlates original data way beyond network security information such as threat intelligence, location information such as geolocation, username, hostname, domain names, or machine learning results like DGA, port-scan, etc.