CrowdStrike has unveiled Signal, a new AI-powered detection engine now generally available, designed to identify subtle, early-stage threats that traditional systems overlook. Built on self-learning models, Signal enhances the Falcon platform by analyzing behavior across time, systems, and users to deliver prioritized, high-confidence leads for faster threat investigation and response.
CrowdStrike Signal uses self-learning AI to detect subtle threats early.
Analyzes behavior across time, systems, and users for precise detection.
Connects low-signal activity into high-confidence, prioritized leads.
Reduces alert volume to accelerate investigation and response.
Enhances Falcon platform with next-generation threat detection.
Now generally available, unveiled at Black Hat USA 2025.
CrowdStrike Signal introduces a new class of AI-powered threat detection, leveraging self-learning models tailored to each customer’s environment. Unlike traditional rule-based systems that miss low-signal activities, Signal continuously learns what’s normal across hosts, users, and processes. This enables it to identify deviations that indicate early-stage attacker behavior, such as reconnaissance or the use of living-off-the-land tools, which often appear benign in isolation.
Signal’s statistical time series models analyze billions of daily events, correlating subtle behaviors across time and systems. By connecting these weak signals, Signal reveals patterns of stealthy attacker tradecraft that other tools miss. This approach transforms fragmented data into a small set of prioritized, AI-generated leads, reducing false positives and providing security teams with clear starting points for investigation, hunting, and response.
“CrowdStrike pioneered AI-native cybersecurity, and continues to deliver the innovation driving the industry forward. Signal is our latest breakthrough, built to detect how modern adversaries actually operate,” said Elia Zaitsev, chief technology officer, CrowdStrike. By condensing vast amounts of data into actionable insights, Signal minimizes manual triage, enabling faster and more effective threat mitigation. Its real-time detection capabilities ensure security teams can act early in the threat lifecycle.
Born on the endpoint, Signal lays the groundwork for advanced detection across identity, cloud, and third-party data. Its ability to adapt to changing environments without manual configuration makes it a scalable solution for organizations facing sophisticated cyber threats. This innovation strengthens CrowdStrike’s position as a leader in AI-native cybersecurity, delivering tools that keep pace with evolving attacker strategies.
CrowdStrike Signal marks a significant advancement in threat detection, empowering organizations to stay ahead of modern adversaries. By combining self-learning AI with real-time analysis, Signal ensures security teams can identify and respond to threats with unprecedented speed and accuracy, reinforcing the Falcon platform’s role in modern cybersecurity.
CrowdStrike, a global cybersecurity leader, has redefined modern security with the world’s most advanced cloud-native platform for protecting critical areas of enterprise risk – endpoints and cloud workloads, identity and data.
Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities.
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