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

ID: 7d49e247-9d38-5cc1-b22e-a3b4bde40a7c

STIX ID: report--7d49e247-9d38-5cc1-b22e-a3b4bde40a7c

Feed Name: Sekoia.com

Date Published: 2024-12-16

Date Updated: 2026-07-20

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This article introduces challenges faced by Security Operations and Detection Engineering teams when creating, maintaining, and scaling detection rules across heterogeneous enterprise environments. It highlights two main factors — increasing attacker sophistication and expanding, non-standardized log sources — and provides a phishing AiTM use case with Sigma rule examples to illustrate how normalisation (e.g., using ECS fields) can improve vendor-agnostic detections. The piece frames detection engineering problems and previews further articles on methods, CI/CD automation, and ongoing monitoring.

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