How SLED teams win with agentic AI cybersecurity

This post details how SLED organizations can leverage agentic AI for cybersecurity. It highlights the challenges of fragmented security data and how an agentic SOC can accelerate investigations by correlating alerts, gathering context, and preparing response plans. The post emphasizes Elastic's human-in-the-lead model for agentic SOCs, where agents present plans for analyst approval before action. It provides case studies from California's EDD and Arizona's Department of Homeland Security, as well as Vrije Universiteit Brussel and Texas A&M University System, to illustrate how agentic AI extends security team capacity and accelerates threat investigations. The importance of a data mesh architecture for holistic visibility without centralizing sensitive data is also discussed, aligning with Five Eyes guidance on operational visibility for AI agents.