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    Cyber News / Article / CrowdStrike Introduces Agentic Adversary Emulation to Counter AI-Enabled Adversaries

    CrowdStrike Introduces Agentic Adversary Emulation to Counter AI-Enabled Adversaries
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    Counter Adversary Operations-1 day ago

    CrowdStrike Introduces Agentic Adversary Emulation to Counter AI-Enabled Adversaries

    November 04, 2026

    Frontier AI is enabling threat actors to rapidly learn an environment, identify weaknesses, and chain them into viable paths to critical systems. These capabilities allow adversaries to move faster while exploiting vulnerabilities, misconfigurations, and other gaps to achieve their goals.

    Traditional exposure management helps organizations identify and prioritize weaknesses largely as individual risks, and periodic red team engagements only provide deeper validation at a point in time. Neither approach alone can continuously validate defenses at the speed and scale of AI-enabled adversaries. Organizations must understand not only where they are exposed, but what adversaries could achieve and whether corrective actions can strengthen their defenses.

    To fight AI-enabled adversaries with AI, CrowdStrike is introducingAgentic Adversary Emulation, a new AI-powered red teaming capability powered byCrowdStrike® SafeMind. It’s now in early access.

    Agentic Adversary Emulation combines specialized AI models and offensive harnesses with real-world adversary intelligence and deep knowledge of customer environments. Operating within controlled, customer-approved boundaries in production environments, it uncovers exploitable attack paths, generates prioritized remediation recommendations and compensating controls, and validates whether corrective actions have strengthened defenses.

    Instead of simply identifying vulnerabilities, Agentic Adversary Emulation shows how attackers could exploit and chain weaknesses across systems and identities to compromise critical assets, and where defenses can stop them. This helps security teams understand what attackers could accomplish in their environment.

    Agentic Adversary Emulation translates these exploitable attack paths into prioritized remediation actions and compensating controls that security teams can review and deploy through the CrowdStrike Falcon® platform. These may include applying patches, changing configurations, updating security policies, and creating new detections. By connecting demonstrated attack paths to corrective actions, this helps organizations focus on the weaknesses attackers can exploit and take targeted action to disrupt their progress.

    After corrective actions are implemented, Agentic Adversary Emulation repeats the attack simulation to verify whether those changes successfully disrupt previously identified attack paths. This helps organizations determine whether their fixes work and whether security controls can prevent adversaries from advancing toward critical assets. By connecting attack path discovery, remediation, and validation, Agentic Adversary Emulation creates a closed loop across offense and defense: attack, defend, and validate.

    Agentic Adversary Emulation combines three core CrowdStrike capabilities to bring real-world adversary behavior into AI-powered red team testing:

    Industry-leading adversary intelligence: CrowdStrike pioneered adversary-driven threat intelligence and tracks more than 290 adversaries globally. Recognized as a Leader by bothGartnerandForresterin threat intelligence, CrowdStrike draws on frontline threat hunting, incident response, CrowdStrike Falcon® platform telemetry, and intelligence on emerging threats to bring the latest adversary tradecraft directly into red team testing.

    Deep knowledge of customer environments: TheFalcon platformprovides rich context across assets, identities, vulnerabilities, configurations, and security controls. This enables CrowdStrike to go beyond generic attack scenarios to emulate how adversaries could exploit interconnected weaknesses in a customer's environment to gain access to critical systems.

    Powered by CrowdStrike SafeMind: SafeMind provides the purpose-built AI models and offensive harnesses that drive Agentic Adversary Emulation. Combining CrowdStrike’s latest adversary intelligence with deep visibility into customer environments, these systems emulate real-world adversary behavior at machine speed, continuously exploring attack paths and adapting as new weaknesses are discovered. Operating within customer-approved boundaries, they identify exploitable weaknesses, reveal how attackers could chain them together, and demonstrate what adversaries could achieve against critical assets.

    During early access, CrowdStrike will work closely with selected customers to conduct controlled red teaming within defined safeguards and customer-approved boundaries, while refining the operational guardrails for safe execution in production environments.

    As AI accelerates adversary operations, security teams need trusted intelligence to make faster decisions, wherever they are. CrowdStrike is bringing its industry-leading threat intelligence and agentic AI capabilities to a new mobile app foriOSandAndroid. Available toCrowdStrike Falcon® Adversary Intelligence Premiumcustomers, the app extends the Falcon experience beyond the desktop, providing direct access to the latest intelligence reports and the Threat Intelligence Agent.

    Through the new app, customers can:

    With Agentic Adversary Emulation and the new threat intelligence mobile app, CrowdStrike is expanding how organizations put adversary intelligence to work, from proactively simulating attacks and strengthening defenses to making informed security decisions wherever they are. Together, these innovations help defenders stay ahead of evolving threats through faster, more proactive, intelligence-driven security.

    Forward-Looking Statements

    This blog includes discussion of unreleased services or features. Any unreleased services or features referenced here are still in development and subject to change. Customers should make their purchase decisions based upon features that are currently available.

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