AgileBlue is addressing a set of issues that have long slowed down security teams—too many alerts, not enough context, and delayed response times. For many organizations, it’s not a lack of data, but too much of the wrong kind. Analysts are stuck sifting through noisy alerts, often missing what really matters.
AgileBlue’s platform cuts through that by using AI to surface the most relevant threats and now takes it further with autonomous response—giving teams the ability to act the moment a threat is confirmed.
AgileBlue recently rolled out a set of platform enhancements aimed at enhancing automated threat response and optimizing day-to-day SecOps tasks. The updates are focused on boosting detection speed, refining user experience, and enabling more autonomous control for security teams.
The headline addition is AgileBlue’s
Autonomous Response capability, which gives organizations the ability to automatically contain threats once a case is confirmed as malicious. Teams can now isolate hosts, disable Active Directory accounts, and block malicious IPs—without waiting for manual intervention. The response workflow is customizable by device and comes with a simplified UI to manage automated and manual actions. This feature is currently available to Pro and Plus tier subscribers.
Also introduced is a
redesigned interface for Sapphire AI, AgileBlue’s detection engine. The new layout improves the visibility of case data and simplifies navigation. An added artifact table helps analysts zero in on key indicators faster, supporting more informed triage and response decisions.
AgileBlue has also added
bi-directional integration with ConnectWise, enabling users to manage security cases within their existing ticketing systems. The update helps unify case workflows, reducing context-switching and increasing operational efficiency for MSPs and in-house security teams.
Lastly, AgileBlue continues to evolve its
AI-powered SOC Analyst. The latest version delivers quicker insights across devices, alert patterns, and cyber risk scoring. Users can query data directly to identify trends, locate high-risk assets, and measure risk changes over time—enhancing both reporting and incident prioritization.