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Detection engineering as a book category covers the principles and practices of designing, building, validating, and operating detection capabilities for cybersecurity — essentially how to find malicious activity reliably and at scale. Books in this genre explain threat modeling and use-case development, telemetry collection and normalization, rule and analytics authoring (SIEM, EDR, network), test-driven detection development, alert tuning, and measurable operational workflows like playbooks and SOC handoffs. They blend theory (attack techniques, detection design patterns, data quality and signal-to-noise tradeoffs) with hands-on guidance (recipes, case studies, detection testing frameworks, automation and orchestration). The audience is typically security engineers, SOC analysts, threat hunters, and platform owners who need pragmatic, repeatable approaches to turn raw telemetry into high-fidelity, actionable detections.

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