
Pierre-Antoine Duchange enhanced the SEKOIA-IO/intake-formats repository by developing advanced graph activity monitoring and improving authentication event parsing for Azure AD and Office 365. He focused on expanding the parser to capture new fields, such as authentication type and unique token identifiers, which strengthened event correlation and investigation capabilities. Using Python and YAML, he implemented targeted tests to validate the new parsing logic and ensure reliability. His work addressed cloud security and log management requirements, aligning with security analytics objectives. The depth of his contribution is reflected in the comprehensive test coverage and the improved fidelity of parsed authentication events.

Month: 2025-10 — Delivered key enhancements in SEKOIA-IO/intake-formats: Graph Activity Monitoring and Enhanced Authentication Event Parsing for Azure AD and Office 365, with new parsing fields and expanded test coverage. Implemented parsing for Authentication type and unique token identifier to strengthen event correlation and investigation context. The changes were validated through targeted tests and align with security analytics goals.
Month: 2025-10 — Delivered key enhancements in SEKOIA-IO/intake-formats: Graph Activity Monitoring and Enhanced Authentication Event Parsing for Azure AD and Office 365, with new parsing fields and expanded test coverage. Implemented parsing for Authentication type and unique token identifier to strengthen event correlation and investigation context. The changes were validated through targeted tests and align with security analytics goals.
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