
Erwan Chevalier enhanced security and automation capabilities across SEKOIA-IO’s intake-formats and automation-library repositories. He developed a Suricata rule for RDP traffic, improving network visibility and incident response by enabling more granular logging. In the automation-library, Erwan engineered robust triage features, such as conditional binary exclusion and multi-file signature aggregation, which increased the accuracy and reliability of malware analysis. He addressed edge cases in data validation and error handling, using Python and YAML to ensure safe processing of both file and URL submissions. His work demonstrated depth in backend development, with careful attention to maintainability, operational safety, and deployment consistency.

July 2025 monthly summary for SEKOIA-IO/automation-library. Delivered robust Triage improvements and URL submission support, with targeted bug fixes that increase signature-check accuracy, reduce false positives, and improve reliability for both file-based and URL-based submissions. Release readiness was enhanced through versioning and changelog updates, enabling clearer downstream communications and faster adoption.
July 2025 monthly summary for SEKOIA-IO/automation-library. Delivered robust Triage improvements and URL submission support, with targeted bug fixes that increase signature-check accuracy, reduce false positives, and improve reliability for both file-based and URL-based submissions. Release readiness was enhanced through versioning and changelog updates, enabling clearer downstream communications and faster adoption.
January 2025 performance summary for SEKOIA-IO/automation-library focused on Triage module reliability and triage efficiency. Delivered a feature to exclude binaries with suspicious analysis results based on criteria like insufficient dynamic analysis or large score gaps, improving incident triage quality and reducing false positives. Strengthened robustness of analysis tagging through explicit typing and safe access patterns, guarding against missing keys and dict edge cases to prevent evaluation errors. Resolved manifest version synchronization issues to ensure consistent deployment and behavior across triage components. These changes collectively enhance triage accuracy, maintainability, and operational safety, accelerating response times and reducing risk in automated analyses.
January 2025 performance summary for SEKOIA-IO/automation-library focused on Triage module reliability and triage efficiency. Delivered a feature to exclude binaries with suspicious analysis results based on criteria like insufficient dynamic analysis or large score gaps, improving incident triage quality and reducing false positives. Strengthened robustness of analysis tagging through explicit typing and safe access patterns, guarding against missing keys and dict edge cases to prevent evaluation errors. Resolved manifest version synchronization issues to ensure consistent deployment and behavior across triage components. These changes collectively enhance triage accuracy, maintainability, and operational safety, accelerating response times and reducing risk in automated analyses.
November 2024: Focused on strengthening network visibility and security monitoring by delivering a targeted Suricata rule enhancement for RDP traffic in the intake-formats repository, enabling better logging and quicker incident response.
November 2024: Focused on strengthening network visibility and security monitoring by delivering a targeted Suricata rule enhancement for RDP traffic in the intake-formats repository, enabling better logging and quicker incident response.
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