SIEM Validation

SIEM validation is the practice of testing whether your SIEM actually collects the right telemetry, correlates it correctly and alerts on real attacker behavior, rather than assuming it does based on rule inventory or default content packs. Cymulate does this by running production-safe attack simulations mapped to MITRE ATT&CK against your environment and comparing what the attack did against what your SIEM logged, correlated and alerted on. The result is evidence of where your detections hold up and where they don’t.

Cymulate ingests your existing SIEM rules through native integrations and uses Vero AI to map them to attack techniques and scenarios. It then executes real-world attack simulations, correlates the simulation with your SIEM’s logs and alerts, and determines whether each technique was detected, alerted on or missed entirely. Findings map directly to MITRE ATT&CK, so you see coverage gaps by technique rather than a single pass/fail score, and each finding shows the detection logic needed to close the gap. 

Cymulate closes the loop between validation and detection engineering. Vero AI maps rules to the attack techniques they are meant to catch, simulation proves which ones fire, and guided tuning fixes the ones that don’t. New rules are generated for uncovered techniques and retested automatically. 

Yes. Cymulate simulations are production-safe: they reproduce the techniques and behavior of real attacks without executing actual malicious payloads or causing damage to systems or data. This is what allows validation to run continuously in live environments rather than being confined to a test lab or a scheduled maintenance window. 

Yes. Cymulate generates Sigma rules and vendor-specific detection rules from validated gaps and provides guided tuning for the rules you already have. Once deployed, rules are retested against the original attack scenario to confirm they improved detection.