The platform, built upon the company’s CognitiveSOC agentic technology, integrates threat hunting, detection engineering, and investigation into a cohesive workflow. By utilizing institutional intelligence, the system distinguishes between benign anomalies and genuine risks, allowing for governed, machine-speed responses while maintaining human oversight over critical security policies and approval thresholds.
In section Releases
Conifers Launches AI Platform for Machine-Speed Cyber Defense
Autonomous agents now discover vulnerabilities and infiltrate systems at machine speed, rendering traditional, manual security operations obsolete. Conifers, a Dallas and Tel Aviv-based startup, is responding to this shift with its new Resilient Cyber Defense platform, designed to unify threat intelligence and remediation into a single, automated operating layer.

During a recent production trial at a 60,000-employee organization, the software identified six active security compromises that had previously escaped detection by standard tools. The platform reduced the median time for detection, investigation, and containment to under ten minutes. Across a dataset of 500,000 investigations, it maintained a 99% accuracy rate with an average investigation time of four minutes. Conifers CEO Tom Findling noted that in the current era of frontier models, the ability to rapidly adapt to a changing environment has become the primary metric of cyber resilience. The system integrates with over 90 existing security technologies and is available for deployment starting today.
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