CrowdStrike launches AI-powered red teaming for agentic attack paths

Designed for AI-enabled attacks

CrowdStrike says frontier AI is helping threat actors learn environments quickly, identify weaknesses and connect them into viable routes to critical systems. Those routes can involve vulnerabilities, misconfigurations and other security gaps.

According to CrowdStrike, traditional exposure management generally identifies and prioritizes weaknesses as individual risks, while periodic red team engagements provide deeper validation at a specific point in time. The company argues that neither approach alone can continuously test defenses at the speed and scale of AI-enabled adversaries.

Agentic Adversary Emulation is intended to help organizations understand both where they are exposed and what an attacker could achieve in their environments.

How Agentic Adversary Emulation works

The capability is powered by CrowdStrike SafeMind and is now in early access. It combines specialized AI models and offensive harnesses with real-world adversary intelligence and knowledge of customer environments.

It operates within controlled, customer-approved boundaries in production environments. CrowdStrike says it can uncover exploitable attack paths, generate prioritized remediation recommendations and compensating controls, and validate whether corrective actions have strengthened defenses.

Rather than simply listing vulnerabilities, the system is designed to show how attackers could exploit and chain weaknesses across systems and identities to compromise critical assets. It also identifies where existing defenses could stop those efforts.

From findings to verified defenses

CrowdStrike says Agentic Adversary Emulation translates demonstrated attack paths into prioritized remediation actions and compensating controls. Security teams can review and deploy those actions through the CrowdStrike Falcon platform.

Possible actions include applying patches, changing configurations, updating security policies and creating new detections. By linking corrective measures to attack paths, the company says the capability helps teams focus on weaknesses that attackers can exploit and take targeted steps to disrupt their progress.

After corrective actions are implemented, the emulation repeats the attack simulation to verify whether the changes successfully disrupt previously identified paths. For users, that creates a process for testing both the original exposure and whether the resulting fix works, subject to the controlled boundaries and early-access status described by CrowdStrike.