Cymulate
Detection Studio
Scale detection engineering to continuously expand coverage and automate the detection life cycle.
Validate, Tune and Optimize
SIEM Detection.
Cymulate Detection Studio transforms detection engineering by automating rule validation and mapping existing SIEM detections to real-world attack techniques,
continuously optimizing detection performance.
Cymulate Detection Studio Benefits
With the intelligence of Vero AI mapping SIEM rules to attack simulation, Cymulate Detection Studio enables security teams to validate whether SIEM rules actually trigger against real attack behaviors and provides clear, actionable guidance when they don’t.
Continuous rule validation
Build, test and deploy in hours not days
Visualize coverage gaps
Optimize SIEM
Reduce Detection Engineering Time by 80%
Automate the Detection Engineering Lifecycle
Results & Outcomes
50%
Improvement in detection coverage
AVG. of CYMULATE CUSTOMERS
60%
Increase in SecOps efficiency
FINANCE CUSTOMER
81%
Improvement in security risk score in four months
TRANSPORTATION CUSTOMER
Faster Detection Engineering with SIEM Integration
Seamless integration with SIEM platforms is essential for effective detection validation. Cymulate, powered by Vero AI, connects directly to your SIEM to automatically ingest rules and collect the required data, accelerating validation and eliminating manual workflows.
Featured Resources
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A New Way to Automate and Simplify Threat Detection
Detection engineering isn’t just building new rules; it's optimizing the ones you have.
Detection Studio FAQs
Cymulate Detection Studio automates and accelerates detection engineering by validating, tuning and optimizing SIEM detection rules using real-world attack simulations.
Detection Studio integrates with your SIEM to import detection rules, map them to attack scenarios using Vero AI and execute simulations to validate whether those rules trigger as expected. It then provides evidence of detection performance and recommends improvements for missed alerts.
Traditional detection engineering is manual and reactive, requiring significant effort to test and tune rules. Detection Studio automates this process with AI-driven mapping, continuous validation and guided tuning, enabling faster and more scalable detection engineering.
By testing rules against real-world attack simulations, Detection Studio identifies missed detections, false positives and false negatives, enabling teams to tune rules and improve overall detection fidelity.
Detection Studio dashboards provide visibility into detection coverage, detection engineering drift and ROI. Teams can track performance, identify gaps and prioritize improvements based on MITRE ATT&CK-mapped scenarios.