User and Entity Behavior
Analytics (UEBA)
UEBA is a form of cybersecurity solution or feature that detects threats
by looking for such activities that differ from the usual.
User and Entity Behavior
Analytics (UEBA)
It is most typically used to monitor and identify unusual traffic patterns, illegal data access and transfer, or suspicious or malicious activities on a computer network or endpoints.
UEBA operates by evaluating network users and other entities, such as hosts, applications, data repositories, and network traffic. They use machine learning to create a baseline of normal activity from real-time and historical data. By using machine learning and behavioral analytics to humans, computers, and entities, UEBA systems can detect insider threats, malware, and sophisticated assaults. They provide analysts the information they need to spot unusual activity in real time and conduct investigations so threats may be verified and mitigated before they do more harm.
UEBA does more than only observe human behavior; it also observes machine behavior. A server at a branch office may receive thousands more requests than usual, suggesting the start of a possible Distributed Denial-of-Service (DDoS) attack. This sort of behavior may go unnoticed by IT managers, but UEBA will detect it and take appropriate action.
How it works?
For a UEBA solution to be effective, it must be installed on every device used by or connected to every employee across the organization.
There are three main components of a UEBA solution:
Analytics gathers and organizes data on what it considers to be regular user and entity activity. The system creates profiles of each user’s typical behavior in terms of application use, communication and download activities, and network connectivity. Statistical models are then developed and implemented to detect unusual behavior.
Integration with existing security products and systems in an organization. With proper integration, UEBA systems are able to compare data collected from various sources, such as logs, packet capture data, and other datasets, and integrate these to make the system more robust.
Presentation is the process of communicating the UEBA system’s results and formulating an appropriate response. It may simply generate an alert, either for the employee or for the IT administrator, to indicate the need of further investigation. Or it may set up to take quick action automatically.
Benefits
Addresses a Wider Range of Cyberattacks
The UEBA system monitors not just human activity on devices, but also device activities, such as servers, routers, endpoints, and Internet-of-Things (IoT) devices. As cyberattacks have expanded in scope and complexity, the malicious attackers may find it more advantageous to simply compromise a device rather than to collect credentials from a human user.
Requires Fewer IT Analysts
Organization now requires fewer analysts to do the work that the UEBA system is carrying out. Software replaces the time and effort of employees who would normally be doing this job. They could utilize their time and effort for something else.
Reduces Costs
There will be savings in IT spending since there will be only fewer analysts to undertake the work that the UEBA system is doing. Furthermore, UEBA avoids the company from paying cybercriminals to recover a system or losing money due to decreased productivity as a result of a malware attack on a server.
Lowers Risk
Today’s businesses are confronted with a slew of new risks. Now a days, employees work from home or remotely, utilizing various devices linked to routers accessing the public internet. It is impossible for an IT team to physically track every device in use. UEBA sorts out much of this labor.
Use Cases of UEBA
Timely implementation of User and Entity Behaviour Analytics (UEBA) can help your business to identify and detect insider threats along with slowly executed attacks at the earliest possible stage.
UEBA utilizes the power of AI and machine learning to detect anomalies or a deviation from normal behaviour. UEBA solutions can detect threats from both human end and non-human entities.
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