
Alexandre Fouchs developed and extended sensitive data validation features for the DataDog/dd-sensitive-data-scanner repository, focusing on backend development and data integrity. Over two months, he implemented modular checksum algorithms in Rust to validate identifiers such as Polish National ID (PESEL), ABA routing numbers, US NPI and DEA numbers, and several European PII formats. His approach emphasized extensibility and testability, integrating new validation modules into the existing framework and providing comprehensive unit tests. These enhancements improved compliance readiness and reduced false negatives by broadening the scanner’s coverage of financial and national identifiers, demonstrating depth in data validation and software testing practices.

December 2025 – DataDog/dd-sensitive-data-scanner: Delivered expanded data integrity validation by adding checksum validation across multiple identifiers (PII rules, US NPI/DEA) and Verhoeff support, with comprehensive tests. This strengthens data reliability, regulatory compliance, and reduces manual validation time. Key achievements include new checksums for four PII rules and exposure of VerhoeffChecksum as a standalone validator; tests validate correctness and robustness of the data handling.
December 2025 – DataDog/dd-sensitive-data-scanner: Delivered expanded data integrity validation by adding checksum validation across multiple identifiers (PII rules, US NPI/DEA) and Verhoeff support, with comprehensive tests. This strengthens data reliability, regulatory compliance, and reduces manual validation time. Key achievements include new checksums for four PII rules and exposure of VerhoeffChecksum as a standalone validator; tests validate correctness and robustness of the data handling.
March 2025 monthly summary for DataDog/dd-sensitive-data-scanner: Delivered two new validation features that expand sensitive data coverage and strengthen risk detection. Implemented Polish National ID (PESEL) validation and ABA routing number validation, including dedicated checksum modules, integration into existing validators, and unit test suites. These updates enhance accuracy in scanning financial and national identifiers, reduce false negatives, and improve compliance readiness. The work demonstrates a modular, testable approach enabling easier extension to additional data types in future sprints.
March 2025 monthly summary for DataDog/dd-sensitive-data-scanner: Delivered two new validation features that expand sensitive data coverage and strengthen risk detection. Implemented Polish National ID (PESEL) validation and ABA routing number validation, including dedicated checksum modules, integration into existing validators, and unit test suites. These updates enhance accuracy in scanning financial and national identifiers, reduce false negatives, and improve compliance readiness. The work demonstrates a modular, testable approach enabling easier extension to additional data types in future sprints.
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