User and Entity Behavior Analytics

Introduction

UEBA , which stands for User and Entity Behavior Analytics , is a security technology used to identify and analyze abnormal and suspicious behavior of users and other entities in enterprise networks. This technology uses advanced algorithms and machine learning techniques to evaluate the activities of users and devices to identify patterns that may be indicative of security threats .

Necessity of using UEBA

• High accuracy in detecting threats : With sophisticated behavioral analysis, UEBA significantly reduces false alarms .
• More comprehensive threat coverage : In addition to file-based threats, UEBA also detects fileless threats and advanced tactics .
• Anticipation and prevention of attacks : By identifying abnormal behaviors before they become real threats, UEBA provides the possibility to predict and prevent attacks .

As a result, using UEBA as part of a comprehensive security strategy enables organizations to have a better view of internal and external threats and protect their resources and data more effectively .

Main applications of UEBA in cyber security

1. Detection of internal attacks : UEBA can detect suspicious behavior of internal users, including unusual accesses to data or sensitive systems, which may be a sign of abuse or internal errors .
2. Detection of external attacks : UEBA can detect activities related to user accounts that have been taken over by external attackers. For example, sudden changes in access patterns or unusual activity that could indicate intrusion .
3. Intrusion and deception detection : UEBA has the ability to detect attempts to bypass security mechanisms or use deceptive tactics. This could include identifying malicious applications or using stolen credentials .
4. Threat response and investigation : By immediately identifying suspicious activity, UEBA allows organizations to quickly respond to threats and conduct security investigations to identify and counter potential threats .

The best known UEBA tools

UEBA (User and Entity Behavior Analytics) tools play an important role in identifying unusual and suspicious behaviors in organizational networks. Here are UEBA’s top five tools to help organizations strengthen their data security :

• Exabeam

Exabeam is a data-driven security platform that uses artificial intelligence to analyze user and device behavior. This system can identify unusual patterns and conduct a broader and deeper analysis of security incidents .

Application : effective in identifying security breaches, internal and external attacks, and helping to respond to threats faster .

• Splunk User Behavior Analytics (UBA)

Splunk UBA uses behavioral analytics to identify internal and external threats. This tool combines network data and behavioral data to detect sophisticated attacks without the need for predefined rules .

Application : applied in large environments that require the analysis of a large amount of behavioral data .

• Gurukul Risk Analytics

 Gurucul Risk Analytics is an advanced UEBA solution that uses machine learning to analyze the behavior of users, devices and other entities on the network. This tool can dynamically identify threats and assess risks .

Application : Useful for organizations looking to integrate risk and security perspectives into a single platform .

• Rapid7 InsightIDR

Rapid7 InsightIDR is a threat detection and response solution that combines behavioral analytics with intrusion detection. This tool can quickly identify threats and provide the possibility of immediate response to incidents .

Application : Suitable for organizations looking for a comprehensive solution to detect and respond to threats in real time .

• Varonis DataAlert

Varonis DataAlert is an analytics solution that analyzes the behaviors of users, devices, and data to identify data leaks, insider attacks, and other security threats .

Application : Very useful for organizations that need strict protection of sensitive data and want to identify threats before they cause damage .

These tools help organizations to strengthen their network security against various threats and proactively react to cyber attacks by using advanced behavioral analysis techniques .

Key Features

UEBA (User and Entity Behavior Analytics) tools use advanced analytical technologies and machine learning algorithms to identify unusual and suspicious behaviors. These tools help identify security threats that may be overlooked by other security systems. In the following, we mention the key features of UEBA tools :

• Advanced Behavioral Analysis

 UEBA tools use machine learning algorithms to analyze the behavior of users, devices and other entities connected to the network. These analyzes are designed to identify unusual patterns that may indicate security threats .

• Identification of internal and external threats

UEBA can help identify internal attacks, such as employee data theft, and external threats, such as intrusions and malware-based attacks .

• Detect fileless threats and sophisticated attacks

 Many new cyber attacks use techniques that do not produce malicious files . UEBA is well able to detect these types of attacks that may not be detected by traditional antiviruses .

• Automatic response to threats

 Some UEBA systems can be configured to take automated actions in response to threat detection. These actions can include quarantining users, changing permissions, or security notifications .

• Compliance and reporting

UEBA helps organizations to comply with various compliance requirements. These tools provide detailed reports of network activity that can be used for risk analysis and security assessments .

• Integration with other security systems

UEBA typically has the ability to integrate with other security systems, such as SIEM ( security information and event management) and other detection and response tools, which help provide a multi-layered view of network security .

UEBA tools are an important part of a comprehensive defense strategy to protect organizational data and assets against ever-increasing cyber threats .