Due to the mixture of on-premises, cloud, and home environments, the complexity of intrusion routes and the expansion of targets for monitoring and investigation

It has a SIEM function that enables log collection from on-premise environments, cloud services, and terminals, and can automatically visualize the behavior of each user​ ​and detect abnormal behavior.
In addition, the SOAR function can be used to automate incident response and reduce the operational man-hours of security operators.

複雑化した膨大なITシステムと、多数のセキュリティ製品の導入により、ログ分析に高いスキルと膨大な工数が発生

With conventional SIEM, even though it is possible to collect logs from multiple IT systems and security products, it was necessary to spend time manually creating rules to analyze the logs in a correlated manner.
Exabeam uses the Smart Timeline feature to automatically organize a wide variety of logs, allowing you to quickly understand the behavior of each user without advanced skills.

Overwhelming operation man-hours due to a large number of logs and alerts from each management device

While traditional SIEM requires action for each alert, Exabeam combines dynamic and static rules based on machine learning, scores and alerts based on total risk. By notifying operators of alerts when preset thresholds are exceeded, there is no need to respond to individual alerts from each device, reducing the number of items to be investigated and reducing the burden on operators. mitigate.

Due to the sophistication of threats, it is difficult to quickly grasp the situation after an intrusion

From the acquired logs, actions such as "who", "when", "where", and "what" are automatically visualized in chronological order,​ ​and actions and risks to actions can be judged in relation to each other. It is possible to immediately respond to lateral movements that used to take time. In addition, since each risk is linked to MITER ATT&CK TECHNIQUE, it is possible to grasp the progress of cyberattacks.