How AI-leading Security Teams Are Building the Agentic SOC

Security teams are increasingly adopting an agentic Security Operations Center (SOC) model to address the challenges posed by AI-enabled cyber threats that outpace human analysts. The agentic SOC leverages AI agents capable of reasoning, decision-making, and acting at machine speed, thus handling workloads beyond the capacity of human teams. This model integrates seamlessly with CrowdStrike's Charlotte AI AgentWorks, a no-code platform that allows security teams to develop custom agents on the CrowdStrike Falcon platform. These agents are secure by design, operate on a robust data foundation, and can encode a team's unique operational context. By doing so, these agents enhance the efficiency and scalability of security operations, transforming complex tasks, such as investigation reporting and threat detection, into automated, production-ready processes. The agentic SOC enables teams to maintain control and governance while benefiting from machine-speed execution and expanded capacity, thus allowing for a more proactive and resilient defense against evolving cyber threats.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.