Detection Engineering
Made Easy

Detection engineering is a structured, proactive approach to creating, testing and refining detection logic to identify and respond to malicious activity across systems, using behavioral patterns, threat intelligence and data telemetry. SecOps teams need to continuously create, fine-tune and validate that their SIEM, EDR and XDR systems can accurately detect malicious activity while minimizing false positives. It enables proactive defense by aligning detections with attacker tactics and continuously improving alert quality to reduce false positives and enhance incident response.

You can validate detection rules by conducting simulations of the techniques you want to detect and confirming whether the rules trigger the expected alerts. Building precise detection rules is already a lengthy process, while manually validating those rules is time-consuming and too slow to keep up with evolving threats.

Automated validation with tools like breach and attack simulation enable continuous improvement, with built-in feedback loops to show detection quality and efficacy. Simulations with these tools are production-safe and can map directly to MITRE, so you can assess the exact techniques you want to detect.

Cymulate accelerates detection engineering in three key ways:

1. Threat-led detection engineering

Build and validate detections for emerging threats by simulating real-world attacks. Identify gaps and generate ready-to-use detection rules for rapid deployment and revalidation.

2. Rule-led detection engineering

Continuously validate and optimize existing SIEM rules. Map rules to attack scenarios, test detection performance, and tune or generate new rules to close coverage gaps.

3. MITRE ATT&CK-aligned detection engineering

Baseline and improve detection coverage using a MITRE ATT&CK heatmap. Identify gaps by threat relevance, prioritize high-risk techniques, and track coverage down to the rule level.