
Worked on the splunk/security_content repository to enhance Azure detection rules by addressing localization issues that affected event capture for Automation Accounts, Runbooks, and Webhooks. Focused on improving detection fidelity and auditability without altering existing functionality, the work involved updating operation names and refining YAML metadata to ensure accurate attribution and version tracking. Leveraged skills in Azure, Cloud Security, and Detection Engineering to deliver targeted corrections that strengthened change-tracking and release hygiene. All updates maintained the existing risk profile and code quality, with careful attention to reproducibility and traceability in SIEM environments, resulting in more reliable detection content for cloud operations.
September 2025: Delivered targeted corrections to Azure detection rules to fix localization issues and improve attribution, enhancing detection fidelity and auditability without altering functionality. Updated rule versions and affected YAML metadata, and adjusted author attribution to reflect contributions from Brian Serocki. These changes improve event capture accuracy for Azure Automation Accounts, Runbooks, and Webhooks and strengthen change-tracking across the detection content.
September 2025: Delivered targeted corrections to Azure detection rules to fix localization issues and improve attribution, enhancing detection fidelity and auditability without altering functionality. Updated rule versions and affected YAML metadata, and adjusted author attribution to reflect contributions from Brian Serocki. These changes improve event capture accuracy for Azure Automation Accounts, Runbooks, and Webhooks and strengthen change-tracking across the detection content.

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