Awake uses machine learning and data science to automate painstaking analyses expert investigators perform, so anyone can get the same results in seconds.
Our patent-pending Security Knowledge Graph™ data model identifies and tracks real-world entities like devices, users and domains. EntityIQ™ machine learning algorithms then surface notable entities and behaviors within the model and cluster similar entities for attack campaign analysis. ActivityIQ™ analytics correlate network traffic to entities and summarize them on a timeline to speed up investigations.
It identifies and tracks network entities as humans think of them and highlights entity attributes, relationships, behaviors and activities. This enables analysts to proactively detect, hunt, investigate and respond to threats. With tenfold better productivity, security teams can uncover threats like insider attacks, corporate espionage, lateral movement and data exfiltration that otherwise go unnoticed.
Awake is built on a foundation of more than two years of research with hundreds of security professionals and more than a dozen security teams.
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