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Top 8 User Behavior Analytics - UEBA

CynetSecuronix Next-Gen SIEMRapid7 InsightIDRExabeam Fusion SIEMSplunk User Behavior AnalyticsOne Identity SafeguardIBM QRadar User Behavior AnalyticsMicrosoft Defender for Identity
  1. leader badge
    I like that it is possible to use the solution to check more information about the users' devices.The most valuable feature of this solution is the network part of it because most of the endpoint products in XDS products we find Cynet has networking user behavior analysis and network analysis, for the whole team.
  2. leader badge
    SNYPR has a bundle of features. It has the UEBA feature that tells you about the behavior of a person or entity. In the tool itself, there is an incident management feature, which is definitely valuable.
  3. Buyer's Guide
    User Behavior Analytics - UEBA
    September 2022
    Find out what your peers are saying about Cynet, Securonix Solutions, Rapid7 and others in User Behavior Analytics - UEBA. Updated: September 2022.
    633,572 professionals have used our research since 2012.
  4. leader badge
    The biggest reason why we chose Rapid7 was to gain value in a really quick time. Its deployment doesn't take months. It just takes a few days.Rapid7 InsightIDR integrates well with other solutions. It's also easy to configure because Rapid7 InsightIDR has a lot of instructions posted on their website that customers can follow if they need to get the source log.
  5. The most valuable feature of Exabeam Fusion SIEM is the easy-to-use user interface.It's a very user-friendly product and it's a very comprehensive technology.
  6. It's easily scalable. The solution is fast, flexible, and easy to use.
  7. The first feature I like about One Identity Safeguard is the live contact point for the VPNs. This has been working very well for us, as it's both highly available and reliable.
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  9. The visibility it gives you into your infrastructure has been great.It'll get you from point A to B.
  10. The basic security monitoring at its core feature is the most valuable aspect. But also the investigative parts, the historical logging of events over the network are extremely interesting because it gives an in-depth insight into the history of account activity that is really easy to read, easy to follow, and easy to export.

Advice From The Community

Read answers to top User Behavior Analytics - UEBA questions. 633,572 professionals have gotten help from our community of experts.
Dongya Sun - PeerSpot reviewer
Dongya Sun
User at a tech company with 501-1,000 employees
I have experience working at one of the leading network security enterprises in China that focuses on technical research, product development, and security services in the network security space. I have been researching different UEBA solutions. What are the benefits UEBA solutions have to offer...
Read More »
RolandBroersen - PeerSpot reviewer
RolandBroersenI would like to recommend ExaBeam to you like the current best UEBA Solution.
7 Answers
Evgeny Belenky - PeerSpot reviewer
Evgeny Belenky
PeerSpot (formerly IT Central Station)

Hi community members,

Let's discuss what are the main differences between UEBA (User and Entity Behavior Analytics) and SIEM (Security Information and Event Management) solutions.

David Swift - PeerSpot reviewer
David SwiftSIEM vs UEBA 1. SIEM is designed to store events for extended periods… more »
4 Answers
Karin Krings - PeerSpot reviewer
Karin Krings
User at University of Phoenix

Hi peers,

I'm looking for recommendations for software to detect insider threats. 

Where can I find a pros/cons template (customized to an organization) to source insider threat detection support?

Xavier Suriol - PeerSpot reviewer
Xavier SuriolI would suggest statistical methods (including machine learning): First, outlier… more »
5 Answers

User Behavior Analytics - UEBA Articles

Evgeny Belenky - PeerSpot reviewer
Evgeny Belenky
PeerSpot (formerly IT Central Station)
Jul 11 2022
Hi community members, As usual, this new Community Spotlight shares with you the latest articles, questions and trending discussions from your peers. Trending See what is trending at the moment and chime in to discuss! Top 8 Extended Detection and Response (XDR) Tools 2022 Would you reco...
Read More »
Ravi Suvvari - PeerSpot reviewer
Ravi SuvvariGood very informative
Netanya Carmi - PeerSpot reviewer
Netanya Carmi
Content Manager
PeerSpot (formerly IT Central Station)
May 12 2022
PeerSpot’s crowdsourced user review platform helps technology decision-makers around the world to better connect with peers and other independent experts who provide advice without vendor bias. Our users have ranked these solutions according to their valuable features, and discuss which features...
Read More »

User Behavior Analytics - UEBA Topics

What is user entity behavior analytics?

User entity behavior analytics, otherwise referred to as UEBA, slowly emerged to replace UBA, offering more powerful solutions. As the threat landscape grew, “entities” were added to UBA to monitor malicious behavior beyond the user level. While UBA can detect human behavior within a network, UEBA can model behaviors of humans as well as the machines within networks, including devices, in addition to applications as well as networks, providing complete visibility. When behavioral abnormalities are associated with an entity (i.e. a particular IP address), attacks hardly go unnoticed. By using a baseline of normal user and machine behaviors, UEBA can recognize when a machine is compromised, and thus minimize the amount of damage that can be done.

What is the difference between UBA and UEBA?

While they may seem synonymous, UBA and UEBA are distinctly different. While UBA can detect and track suspicious activities and behaviors, UEBA is able to detect abnormalities that are more complex across multiple users, devices, and IP addresses. Unlike UBA, UEBA tracks user activity and other entities. These entities may or may not include managed and unmanaged endpoints, networks, applications, and external threats.

What are the three pillars of UEBA?
  1. Use cases are one of the three pillars that provide insight into the abnormal behavior of users and entities within a corporate network by monitoring, detecting, and making alerts of anomalies.
  2. Data sources are used to collect various types of data from a repository. The repositories often include data from a data lake or warehouse or an external system like SIEM (security information and event management).
  3. Analytics are used to detect abnormal behavior, either through supervised or unsupervised machine learning or other methods like rule-based analytics, statistical modeling, or threat signatures. Data analysis allows baseline profiles and patterns to be created so that anomalies can be detected by comparing those profiles to user or device behaviors.
What is UBA in SIEM?

UBA and SIEM (security and information event management) are closely related. UBA tools work in conjunction with SIEM solutions to reveal anomalies in behavioral patterns within a network. To perform analysis, UEBA relies on security data which is collected and stored by a SIEM. UBA works in real time to uncover unknown threats and anomalies, whereas SIEM uses point-in-time analysis, which means that it can only process a limited number of events in a particular time frame. By combining UBA with a SIEM solution, human and machine behavior can both be spotlighted, providing organizations with the benefits of advanced threat detection that traditional security tools often miss.

How do you define user behavior?

User behavior can be defined as how users interact with a website. Typically, this can refer to any action a user takes, such as the amount of time they spend on a specific page, how many pages they visit, how long they remain on the clicked pages, which links they click on, how they scroll, when and where they leave the website from, and much more. Tracking user activity can be especially helpful when related to threats or cyberattacks. Detecting potential risks or threats before they escalate can save organizations from experiencing damage to their systems, and can save lots of money and time.

What are behavioral analytics tools?

Behavior analytics tools are tools used by an organization for analytics, statistics, data protection, or breach prevention. With the hacking incidents increasing more and more frequently, using behavioral analytic tools has become a crucial element for all businesses. The primary goal of behavior analytics tools is to track a user's behavior and data usage, as well as network events and typical behavior patterns to easily identify potential threats based on detected anomalies.

Benefits of User Behavior Analytics Tools

There are many benefits of using behavior analytics tools. These include:

  • Automatic detection: Internal and external cyberattacks (whether they be compromised accounts, data breaches, or the creation of new users) are automatically identified.
  • Decreased number of security analysts: With automated systems in place, fewer security analysts are needed.
  • Reduces cybersecurity budget: With less security analyst staff to employ, organizations can save on cybersecurity costs.
  • Business process optimization: UBA tools allow organizations to have complete transparency. Because every action is documented, businesses can analyze which processes are working and which ones are costing too much money, etc. With this information at hand, businesses can make more informed decisions and test new methods to optimize and scale business processes.
  • Additional visibility: Anomalous or unexpected behaviors that violate company policies can also be monitored. Organizations can receive tactical notifications when employees take liberties.
User Behavior Analytics Tools Features

Below is a list of some key features to consider when choosing a UBA tool:

  • Machine learning: Monitor both individual user and group activities by choosing a UBA tool that incorporates machine learning.
  • Easy-to-use dashboard: When a dashboard is intuitive and easy to understand, it provides instant visibility of suspicious activity or attacks.
  • Data movement: It is useful when you are able to track your data flow movement, both online and offline.
  • AI-based: With the addition of an artificial intelligence-based feature, organizations can identify real risks and threats.
  • Dynamic visualization: This feature allows companies to easily gain insight into historical activities.
  • Notifications: Detailed alert notifications can be set up to give complete insight into an incident.
Buyer's Guide
User Behavior Analytics - UEBA
September 2022
Find out what your peers are saying about Cynet, Securonix Solutions, Rapid7 and others in User Behavior Analytics - UEBA. Updated: September 2022.
633,572 professionals have used our research since 2012.