Aruba - The human factor as a risk for targeted attacks in IT security – UEBA

When targeted attacks are carried out on companies, security systems based on known attack patterns are powerless. Attackers consider exactly how to access an employee's user accounts or how to get the employee to do things in the attacker's interest. Here only abnormal actions and behavior of users or devices helps to recognize. With the help of Machine Learning and BigData, all information from IT systems as well as real-time traffic is permanently evaluated. Intelligent analytics modules report abnormal behavior. A risk score brings potentially compremented users or devices into the focus of the security analyst. Here you will learn a solution that does not leave the security analyst alone with a myriad of logs and alerts but displays potential attacks according to ranging. This ensures that an SOC works effectively. Machine Learning makes the solution better and smarter over time by evaluating alerts and updates. 146 analysis modules look for a wide variety of conspicuous features.