CrowdStrike has signed a definitive agreement to acquire SGNL, a company focused on Continuous Identity technology, as part of its push to expand identity security capabilities for the AI era. Financial terms were not disclosed.
The acquisition centers on protecting human, non-human, and AI identities. SGNL’s technology is designed to continuously grant or revoke access based on real-time risk signals, rather than relying on static permissions that remain in place after initial authentication. The model is meant to keep access aligned with changing risk conditions.
CrowdStrike said the deal accelerates its Next-Gen Identity Security roadmap by adding continuous identity capabilities. The approach is aimed at ensuring that access decisions can change as risk conditions change, providing a way to manage identity-based threats across a broader set of users and automated entities.
CrowdStrike CEO George Kurtz said AI agents operate with superhuman speed and access, making every agent a privileged identity that must be protected.
CrowdStrike has been expanding its identity-centric posture in recent years, including identity-centric security integrations with SailPoint and a risk-based authentication collaboration with HYPR. The company is also operating in a market where vendors are launching new approaches to identity risk, such as Axiad’s Mesh platform for enterprise identity risk management.
The emphasis on non-human identities reflects a growing concern as enterprises deploy more automation. API keys, service accounts, and AI agents often operate with wide-reaching permissions, and each of those credentials becomes a potential attack vector if compromised or misused.
SGNL’s continuous identity model is meant to address that problem by allowing access to be granted, adjusted, or revoked in real time. That dynamic approach contrasts with traditional access controls that grant permissions based on a point-in-time decision, even when risk signals change after access is issued.
The acquisition positions CrowdStrike to extend identity security beyond human users and into the expanding landscape of AI-driven workflows. As organizations adopt more autonomous agents, continuous identity controls are expected to play a larger role in protecting identity boundaries and reducing the risk of credential abuse across enterprise environments.
Source: CrowdStrike
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By the ID Tech Editorial Team
