CrowdStrike Launches AI Red Teaming Tool to Test Defences Against AI-Enabled Attackers

CrowdStrike says advanced AI is helping threat actors learn an environment quickly, find weaknesses and chain them into viable paths to critical systems. The company argues that traditional exposure management tends to treat weaknesses as individual risks, while periodic red team engagements only validate defences at a single point in time. In its view, neither approach alone can keep pace with AI-enabled adversaries.

To respond, CrowdStrike has announced Agentic Adversary Emulation, a new AI-powered red teaming capability built on its SafeMind technology. It is now in early access. The company says it combines specialised AI models and offensive tooling with real-world adversary intelligence and knowledge of a customer's environment. It operates within controlled, customer-approved boundaries in production environments to uncover exploitable attack paths.

Rather than just listing vulnerabilities, the capability is designed to show how weaknesses across systems and identities could be chained to compromise critical assets, and where defences could stop an attacker. CrowdStrike says it then produces prioritised remediation actions and compensating controls, which security teams can review and deploy through the Falcon platform. These may include applying patches, changing configurations, updating security policies and creating new detections. The tool also validates whether those corrective actions have strengthened defences.