Splunk UBA APP
Table of Contents
Splunk User Behavior Analytics technology, or Splunk UBA for short, is used to analyze the behavior of users in the network. It has many capabilities. Here are some of the most important ones:
- It has a simple interface for SOC analysts, event reviewers and SEIM managers.
- Using Splunk UBA and its licenses, it is possible to identify cyber-attacks and internal threats.
- Increases the effectiveness of restorative processes by prioritizing threats and avoiding false positive assessments.
In general, complex cyberattacks are always covert and difficult to detect, which is why it is so important to identify them and ways to infiltrate and eliminate their threats to protect confidential data. This means that the task of security teams at present is to identify and eliminate hidden threats on the network, regardless of any other issues.
The Splunk UBA process of user behavior analysis helps companies and organizations to identify known, unknown, and hidden threats through machine learning, similar group analysis, and advanced correlation. Splunk UBA license, in addition to overseeing the security analysis process, requires minimum management measures and integrates with existing infrastructure. Identify hidden threats.
Specific methods in identifying threats
The identification process in this software is based on machine learning methods that do not require human analysis and allows behavioral profiling and analysis of similar groups for users, equipment, user accounts of services and applications. As a result, threats and anomalies are automatically and accurately identified. Tests related to the prevention, detection and removal of network-related security problems should be integrated through continuous monitoring as well as advanced analysis.
Note that Splunk Enterprise, Splunk Enterprise Security, and Splunk UBA can work together to provide the following capabilities:
- It is possible to develop Search, Pattern, Expression-based approaches in Splunk Enterprise and Splunk ES to find complex Kill Chain illustrations.
- Security hole detection techniques provide statistical profiling for the security team. This makes it easy to use large-scale data available in Splunk Enterprise.
- By combining machine learning methods and advanced analytics capabilities with these softwares, organizations can perform activities such as network monitoring, alerting, sharing, and identifying known and unrecognized threats, regardless of the size of the organization or their skill set.
Identify hidden threats
Splunk UBA software, among the millions of anomalies it has observed on the network, identifies several major threats and speeds up the process of reviewing and providing solutions. It uses security-based algorithms for machine learning, dynamic statistical methods as well as correlations to identify hidden threats without human analysis. False Positives can also be reduced by being aware of concepts, situations, and content.
Identify Kill Chain and Attack Vector
This technology detects abnormalities and Kill Chain attacks. It also detects malware add-ons or malicious internal replications and responds to real-time signs for abnormal actions (such as suspicious URLs or Land-Speed Login violations).
Splunk UBA architecture and implementation
Splunk UBA includes the Hadoop ecosystem. This ecosystem is used for open, cost-effective and scalable open data. This technology is designed to analyze events on a large scale and in real time. These events include graph databases that are used to process and establish secure communications on the network. Splunk UBA is approved for scaling hundreds of terabytes and billions of events and can be implemented as software on-premise, on virtual devices, or as a Public Cloud Instance with customer management.
Uses of Splunk UBA in network
Splunk UBA has been able to provide the most compelling security analysis solution in recent years by providing the full details of an attack (cyber-attack or intra-organizational threat as well as providing a platform for detection, response and automation).
IP Theft and Data Exfiltration
This software can identify evidence of unauthorized transfer of data in the organization from assets or users.
Prevent hacking of accounts
This software quickly identifies vulnerable user accounts and provides a complete view of threats related to the Privileged Account.
Virtual Cloud Asset and Container
It can perform the process of determining behavioral principles, detecting abnormalities, and identifying threats for virtual containers and cloud applications.
Detect and identify Internet scams
Behavioral modeling of transactions and automated threat modeling to identify fraud-related activities.
Identify suspicious behavior of users and applications
Identify threats and anomalies related to users and institutions of an organization with behavioral analysis of the institution and user (UEBA)
Ability to detect cyber-attacks and get an overview of the threat situation within the organization
Splunk UBA and behavioral analysis
The licensed Splunk UBA can detect cyber-attacks and intra-organizational threats using behavioral principles, data science, machine learning, and similar group analysis. With advanced security analysis, this solution enables organizations of all sizes and skills to identify and respond to known, unknown and hidden threats. Splunk continues to provide the most compelling security analysis solution in the IT industry by detailing the step-by-step cyber-attack or internal threat.