CrowdStrike Unveils the Next Evolution of the Agentic SOC

Autonomous attacks move across systems at machine speed – only CrowdStrike can investigate every domain simultaneously

AUSTIN, Texas & LAS VEGAS, September 02, 2026--Fal.Con 2026--CrowdStrike (NASDAQ: CRWD) today unveiled the next evolution of the agentic SOC. AI agents execute attack actions across multiple systems at machine speed. The investigation has to move the same way. CrowdStrike delivers the first coordinated, multi-agent investigations across endpoint, identity, SaaS, cloud, and network simultaneously, turning what once took hours into minutes, with verdicts defenders can trust.

"We're already seeing AI agents execute attacks across multiple systems at the same time," said Michael Sentonas, president of CrowdStrike. "AI agents in the SOC are table stakes. Agents working together across every domain, on the same investigation, that's the new standard. CrowdStrike's architecture and expert validation make this possible, and confidently answer the question every CISO is asking: how do I trust what my agents found, and how do I know it's right?"

AI Attacks Break Isolated Investigations on Fragmented Data
First-generation AI SOC tools dispatch individual agents to investigate alerts in sequence. AI attacks don't move that way. They exploit credentials, socially engineer, and operate across multiple services in parallel at machine speed. An agent investigating one domain alone produces a piece of the puzzle, not a verdict. When vendors bolt agents onto fragmented data stacks, every connectivity gap becomes an investigation gap. By the time the pieces are assembled, the breach has already happened.

Unified Data. Expert-Trained Agents. Coordinated Investigations.
Only CrowdStrike delivers a single sensor, single console, single platform architecture generating nearly four trillion events daily across endpoint, identity, SaaS, cloud, and network. CrowdStrike's elite analysts reinforce agents with expert decisions from every MDR and IR engagement, making agents smarter with every breach stopped.

On this foundation, Charlotte AI dispatches domain agents in parallel, all operating on a new shared context layer, a persistent memory across every agent, investigation, and tenant. What one agent learns, they all know, eliminating handoffs and letting agents work the same investigation together across domains. Agents investigate the way elite analysts work, weighing evidence and converging on a single trusted hypothesis with visible reasoning and justification to back it up. Analysts no longer stitch isolated findings together. Agents do – at machine speed.