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Detect Linux Reconnaissance in Microsoft Sentinel with Sigma-to-KQL Conversion
- A new feature in Microsoft Sentinel translates a Linux-based Sigma rule targeting the sysinfo system call into KQL for better detection.
- The sysinfo system call provides attackers with system metadata crucial for reconnaissance activities.
- The feature converts the Sigma rule's Linux auditd telemetry targeting sysinfo into KQL, excluding benign admin processes like splunkd.
- It uses sophisticated logic to filter syslog messages for sysinfo events and excludes known non-malicious activities like Splunk agent usage.
- This innovation streamlines cross-platform detection, translating auditd rules to Sentinel-compatible queries automatically.
- Uncoder AI facilitates the translation process by parsing Sigma logic, mapping to syslog fields, and preserving essential filters.
- The automation reduces the time and effort required for manual translation of detection rules from Sigma to Microsoft Sentinel.
- Security teams benefit from enhanced threat coverage across hybrid cloud and Linux environments without the need for manual KQL scripting.
- The feature aids in tactical reconnaissance detection, offering cleaner signals and better detection capabilities against early-stage attacks.
- By operationalizing Linux audit rules in Microsoft Sentinel, Uncoder AI enables faster and more effective threat detection.
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