Detection Engineering is the art and science of identifying malicious activity within complex environments before it becomes a full-blown breach. It bridges the gap between threat intelligence and actionable alerts.

Core Concepts

• Threat Modeling: Understanding attacker methodologies and identifying critical assets.
• Telemetry Pipelines: Managing the flow of logs, establishing baselines, and reducing noise.
• Rule Development: Writing high-fidelity detection rules (e.g., Sigma, YARA, Splunk SPL) with low false-positive rates.
• Continuous Validation: Testing detections against real-world attack simulations (e.g., Atomic Red Team).