Qevlar AI augments SOC with AI SOC analysts. Powered by a combination of proprietary AI models and large language models (LLMs), Qevlar AI agents process, correlate, and analyse data from sources like SIEM, EDR tools, CTI, firewall logs. At the core of the solution is the “Orchestrator,” a graph-based proprietary AI model that simulates SOC analysts' decision-making by determining the right actions for each alert without relying on deterministic automation. This approach enables security operations to scale efficiently by accelerating threat detection and freeing analysts to focus on high-value tasks like threat hunting, detection rule enhancement, and attack remediation.