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Exabeam

Exabeam

Minimal resources, high level of security

Visualization of normal user operations and detection of signs of threats

Today's sophisticated targeted attacks and internal fraud are sometimes carried out using what appear to be legitimate credentials, devices, or tasks. This makes it difficult to determine whether a user's behavior is normal or malicious, making detection by existing solutions or the human eye increasingly difficult. Exabeam uses machine learning (UEBA) on collected logs to generate normal behavior patterns for each individual and device. When abnormal behavior that deviates from normal behavior patterns is detected, the risk level of that behavior is automatically scored and displayed on the Exabeam timeline, providing notifications.

No advanced skills required. Visualize threats with “stories” from huge logs

What makes Exabeam unique is that it uses Exabeam's patented technology to automatically link target logs to people or devices and organize them chronologically, creating a timeline of each user's actions. This applies not only to logs of abnormal actions (alerts, etc.), but also to all logs, including logs of normal actions (access logs, etc.). All actions are displayed as a story on the timeline, making it easy to compare and confirm previous and subsequent actions, as well as normal actions, allowing even operators without specialized knowledge to quickly assess threats and understand the situation.

Simple and intuitive user interface

To perform security operations quickly, operators need to be able to understand information correctly and quickly. Understanding information also requires specialized knowledge of various products, security knowledge, and knowledge of the internal environment, but these types of personnel are in short supply not only in Japan but around the world. Exabeam helps customers streamline their security operations by providing information that is easy to understand and an easy-to-use user interface.

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