Open XDR vs. SIEM

Matching Resources and Business Risk with the Right Solution

  • Deployability — Cloud-native microservice architecture for scalability, availability and deployment flexibility
  • Data Fusion — Centralize, normalize and enrich data across the entire attack surface, including network, cloud, endpoints, applications and identity
  • Detection — Built-in automated detections through Machine Learning
  • Correlation — High-fidelity correlated detections across multiple security tools
  • Intelligent Response — One-click or automated response from the same platform.

Defining SIEM

  1. Data is forced into a normalized and enriched state, and this is done before the data are stored in a data lake.
  2. Detections and correlation of alerts are automatically driven by AI in Open XDR, not human-written rules as with SIEMs.
  3. Incidents are produced from correlated alerts, from which a single response on the same platform is orchestrated, compared to a SIEM, which sends alerts to a different SOAR platform which then performs downstream correlation and response.
  4. Many tools required for security operations are unified, such as Big Data Lake, UEBA, SOAR, TIP, NDR or EDR on one platform while many SIEMs only include a Big Data Lake, forcing SIEM users to manually combine many complex tools together by themselves.
  • Use of Big Data technologies (no more SIEM constantly falling over)
  • Some User and Entity Behavior Analysis (UEBA) through various algorithms
  • UI/UX improvements to key workflows like Threat-Hunting
  • Native or open integration with SOARs
  • Data modeling plugins.

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Stellar Cyber

Stellar Cyber’s Open XDR platform delivers Everything Detection and Response by unifying all currently disjointed security tools and data sources.