This article explores the final step in building a robust detection foundation by focusing on the practical application of log correlation. It emphasizes that while collecting data from Windows Security events, PowerShell, and Sysmon is essential, the true value lies in connecting these disparate sources through shared identifiers like the LogonID to establish context regarding user sessions, process chains, and network activity.
The piece outlines a realistic investigation workflow, tracing a malicious PowerShell script from its initial execution back to a phishing email and forward to C2 communication. By leveraging correlation models and Sigma-style detection rules, organizations can build resilient monitoring capabilities that identify complex attack patterns, such as "download and execute" behaviors or suspicious LSASS memory access, even when primary security tools fail to trigger an alert.
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