XDR operates by creating a unified security platform that connects previously isolated security tools and data sources. Think of it as the central nervous system of your cybersecurity infrastructure—it gathers information from all your security sensors and processes it through a single brain.

Data Collection Across Multiple Layers

XDR platforms collect telemetry from four primary security domains:

Endpoints: Traditional endpoint detection and response (EDR) data from workstations, servers, and mobile devices, including process execution, file modifications, and network connections.

Network: Traffic analysis, DNS queries, firewall logs, and intrusion detection system alerts that reveal lateral movement and command-and-control communications.

Cloud: Activity logs from cloud platforms like AWS, Azure, and Google Cloud, including identity access management events, storage access, and serverless function executions.

Identity: Authentication events, privilege escalations, and access patterns that help identify compromised accounts and insider threats.

Advanced Analytics and Correlation

The real power of XDR lies in its ability to correlate this diverse data using machine learning algorithms and behavioral analytics. According to the Cybersecurity and Infrastructure Security Agency (CISA), effective threat detection requires analyzing relationships between security events rather than examining them in isolation.

XDR platforms use techniques like:

• Timeline analysis to reconstruct attack sequences

• MITRE ATT&CK framework mapping to categorize threat behaviors

• Threat intelligence integration to identify known indicators of compromise

• User and entity behavior analytics (UEBA) to spot anomalous activities