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Detection engineering at scale: one step closer (part two)

ID: ef346f2c-e142-520e-b014-d02c18f8b2ac

STIX ID: report--ef346f2c-e142-520e-b014-d02c18f8b2ac

Feed Name: Sekoia.io Blog (archive)

Date Published: 2025-02-04

Date Updated: 2026-04-29

Author: Guillaume C., Erwan Chevalier and Sekoia TDR

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This article presents Sekoia.io’s CI/CD-enabled detection engineering methodology, detailing the lifecycle from Sigma rule creation and metadata planning through an adapted Palantir ADS framework, continuous syntax/logic testing with real and replayed logs, and automated documentation outputs (e.g., ATT&CK mapping, log source compatibility, EventIDs, and changelogs) to ensure scalable, reliable detections.

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