Detection Engineering Made Easy
Build, test and optimize threat detection with attack simulations and custom rules that automate detection engineering.
Detection engineering demands continuous vigilance to adapt to new threats.
Security teams report challenges validating
custom detections
Source: Anvilogic
SIEM rules are broken and
will never fire due to issues with data sources
Source: CardinalOps
MITRE ATT&CK techniques are not covered by the average SIEM
Source: CardinalOps
Accelerate Detection Engineering with Automation and AI
Cymulate Exposure Validation makes detection engineering easy by automating the most resource-heavy tasks in modern SecOps. By combining robust attack simulations with AI-driven analysis, Cymulate empowers teams to build, test and fine-tune threat detection using live-data attack simulations and custom-generated rules that accelerate detection workflows and strengthen threat resilience.
Solution Results
50%
Improvement in
threat detection coverage
CYMULATE CUSTOMERS
60%
Increase in security operations team efficiency
FINANCE CUSTOMER
81%
Improvement in security risk score in four months
TRANSPORTATION CUSTOMER
Solution Benefits
What our customers say about us
Organizations across all industries choose Cymulate for award-winning breach and attack simulation to validate their security operations.
Featured Resources
Accelerate Detection Engineering
Learn how Cymulate enables a streamlined, prioritized approach to detection engineering.
RBI Optimizes SIEM Detection
Discover how RBI automated detection engineering and improved its security.
Automate and Simplify Threat Detection
Detection engineering isn’t just building new rules; it's optimizing the ones you have.
Detection Engineering FAQs
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 and automated red teaming 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 by automating and streamlining the most resource-heavy tasks in SecOps. Its AI-driven platform transforms threat advisories or news articles into custom assessments that safely simulate real-world attacks, allowing teams to validate whether existing SIEM, EDR, or XDR rules detect them effectively. If gaps are found, Cymulate provides tailored, vendor-formatted detection rules and lets teams instantly re-test to confirm the fixes work, eliminating guesswork and reducing time to resolution.
Cymulate also maps existing SIEM detection rules to real-world attack behaviors, enabling automatic validation and clear insight into why rules may fail. A built-in MITRE ATT&CK heatmap visually highlights which behaviors are detected, missed, or weakly covered, helping teams prioritize rule development where it matters most. With continuous validation and tuning, Cymulate ensures detection logic stays effective against evolving threats across the full kill-chain.