Cymulate announces AI detection engineering assistant for SIEM rule validation

Cymulate recently announced the release of its new AI-powered detection engineering assistant for security information and event management (SIEM) rule threat coverage validation. Now, the Cymulate platform automates and streamlines the detection engineering process for blue teams and SecOps, allowing them to build, test, and optimize threat detection with AI-assisted live-data attack simulations and customized threat detection. 

Cymulate automates the correlation and testing process, enabling SecOps and blue teams to identify coverage gaps and tune rules in minutes. By automating the correlation between detection rules and Cymulate attack scenarios leveraging advanced AI analysis, organizations can now ensure their SIEM rules are continuously validated against real-world threats and optimized with precision.

“Detection engineering doesn’t have to be complicated, and Cymulate applies AI to help organizations across the globe drastically simplify their process,” said Avihai Ben-Yossef, co-founder and CTO of Cymulate. “Our new SIEM solution applies the latest AI-driven automation technology to address some of the most complicated areas in detection engineering.” 

The Cymulate platform now features deeper integrations with SIEMs and AI-powered analysis to map detection rules to its extensive library of more than 100,000 attack scenarios. Cymulate validates SIEM detection rules through live-data attack simulations, which test and validate both detection logic and the collection of logs and events required to support the rule.