Threat AI is built on CrowdStrike’s extensive experience, including tracking over 265 global threat groups, and is integrated into their threat intelligence and hunting modules.

CrowdStrike is advancing its cybersecurity capabilities with autonomous agents that analyze threat data, proactively hunt adversaries, and take decisive actions across the cyber kill chain, building on over a decade of threat intelligence.

Following a major outage in July 2024 that impacted 96% of customers, CrowdStrike responded with transparency and steps to stabilize its ecosystem, emphasizing the importance of autonomous cybersecurity.

Their Agentic Security Platform and workforce leverage autonomous systems and user-defined agents, utilizing extensive telemetry data to enhance threat detection and response.

At Fal.Con 2025, CrowdStrike announced 'Threat AI,' marking a major step forward in AI-powered cybersecurity, and showcased its shift from crisis response to leading in this innovative space.

This new platform emphasizes CrowdStrike’s integrated approach, setting it apart from competitors by focusing on autonomous, AI-driven security solutions.

CEO George Kurtz highlighted that AI is transforming cybersecurity by enabling autonomous, self-learning systems, with CrowdStrike aiming to achieve full autonomy in threat detection and response.

Described as the industry’s first agentic threat intelligence system, Threat AI automates complex workflows to improve security outcomes.

The rise of AI-driven attacks targeting unmanaged devices and identity exploits has prompted CrowdStrike to develop agentic security models that automate detection, response, and remediation, shifting from reactive to proactive defense.

Partnerships with Dell and Intel are enhancing device-level security through real-time telemetry and ecosystem integration, improving visibility and manageability at the endpoint.

CrowdStrike’s platform evolution includes the Enterprise Graph, a unified data model supporting AI and autonomous systems by integrating threat, asset, identity, and user data for scalable cybersecurity.

Initial focus of Threat AI’s agents includes automating analyst workflows, such as malware analysis, which automates reversing, classifying, and comparing malware samples.