Inside CrowdStrike’s Move To Secure Enterprise Agentic AI

Enterprise software is rapidly moving toward autonomous agents. Gartner expects task-specific agents to appear in 40% of enterprise applications by the end of 2026, up from less than 5% in 2025. Agents can use credentials, invoke tools, and alter business systems, yet many companies still lack a reliable way to inventory or govern them.

That gap creates a different security problem than the one enterprises faced with conventional applications. Coding agents, workflow agents, and autonomous copilots can operate with real credentials, invoke tools, modify systems, and access sensitive data. The question is increasingly about which agents are operating, what authority they have, and whether their actions can be observed and stopped.

Attackers have already adapted. According to CrowdStrike’s 2026 Global Threat Report, AI-enabled attacks rose 89% year over year, and the average breakout time, the window between initial access and lateral movement, fell to 29 minutes. The company’s 2026 Threat Hunting Report found adversaries exploiting vulnerabilities within hours. Security operations built around human analysts working tickets in sequence struggle to keep pace.

That tension was center stage at CrowdStrike’s recent Fal.Con 2026 customer event, where nearly every major announcement focused on securing the AI agents enterprises deploy and on applying AI to defend at machine speed. Taken together, the releases are CrowdStrike’s clearest statement yet of how it intends to compete as security spending follows AI adoption.

CrowdStrike president Mike Sentonas stated it plainly: “The enterprise isn’t simply using AI anymore; AI is part of the enterprise. Once AI becomes part of the enterprise, it becomes part of what we have to defend. But it’s also now changing how we defend.”