{"id":2997,"date":"2021-10-01T04:53:46","date_gmt":"2021-10-01T04:53:46","guid":{"rendered":"https:\/\/empmonitor.com\/blog\/?p=2997"},"modified":"2022-02-08T11:01:23","modified_gmt":"2022-02-08T11:01:23","slug":"user-behavior-analytics-2022","status":"publish","type":"post","link":"https:\/\/staging.empmonitor.com\/blog\/user-behavior-analytics-2022\/","title":{"rendered":"User Behavior Analytics 2022"},"content":{"rendered":"

User behavior analytics (UBA or entity behavior analytics)<\/strong> technology focuses on what the user is doing (unlike firewalls & antiviruses) to search for patterns of usage that indicate anomalous behavior.<\/span><\/p>\n

UBA keeps a close watch on activities performed- from apps used to network activity and most critical files accessed, everything gets tracked regardless of whether the activities are coming from an insider, hacker, or even malware.<\/span><\/p>\n

Although UBA won\u2019t prevent hackers from getting inside your system, it can surely minimize the damage and spot their activities. Hackers have become very good at appearing like ordinary users, and that\u2019s where UBA comes in for rescue by focusing more on user activities and less on system events.<\/span><\/p>\n

UBA understands user patterns, including login times, geographical locations, session duration, network traffic, file downloads, and authentication logs and zeroes down on the hackers if their behavior differs from legitimate users.<\/span><\/p>\n

What is User Behavior Analytics<\/b><\/h1>\n

UBA(user behavior analytics)<\/strong> is a cybersecurity technology that tracks a system\u2019s users to detect targeted attacks, insider threats, and financial fraud by using monitoring tools<\/span> before a data breach, enabling threat detection and continuous risk assessment without complicating the end-user experience.\u00a0<\/span><\/p>\n

While SIEM (Security Information and Event Management) analyzes events that occur behind firewalls, UBA analyzes <\/span>user behavior<\/span><\/i> through machine learning to detect anomalies that recognize potential threats.<\/span><\/p>\n

Primarily, <\/span>user behavior analytics<\/strong><\/em> relies on automated analysis of big data to identify and stop potential cyberattacks in real-time. Big data platforms are increasing UBA functionality by analyzing petabytes worth of data to detect advanced persistent threats.<\/span><\/p>\n

Why UBA<\/strong><\/p>\n

Perimeter-facing enterprise security technologies like encryption or Firewalls cannot stop malicious insiders who have already gained access to internal data through phishing, credential theft, or malware. On top of it, the widespread adoption of cloud, SAAS, and mobile applications have made risk management difficult.<\/span><\/p>\n

The global average cost of a data breach is nearly <\/span>$4<\/span><\/em> million, indicating <\/span>34%<\/span><\/em> of a data breach is from internal factors, making UBA very important to recognize insider threats before they can perform damaging activities or theft.<\/span><\/p>\n

Many of the applications are not officially approved by the IT department, making it even more challenging for the IT teams to identify potential threats across hybrid architectures.<\/span><\/p>\n

UBA <\/span><\/i>addresses this challenge by continuously monitoring every user activity, then anomaly detection to identify and flag anomalous behavior before a breach.<\/span><\/p>\n

UBA is essential for organizations to eliminate security blind spots, identify intrusions, protect data, and respond to security events proactively.<\/span><\/p>\n

How Does it Work?<\/strong><\/p>\n

User behavior analytics<\/strong>(UBA) works by establishing benchmarks for normal human behavior and simultaneously alerting the IT team when a user deviates from predefined rules.<\/span><\/p>\n

For example- if a user attempts to sign in at unusual hours at<\/span> 3<\/span><\/em> AM, the UBA would flag that behavior and halt access immediately or alert IT admins to prevent a serious breach.<\/span><\/p>\n

Sophisticated UBA solutions use machine learning for rulemaking capability, where it is capable of detecting unusual behavior through a dynamic rule that creates specific risk profiles for each user.\u00a0<\/span><\/p>\n

These risk profiles are created by observing how each user works, how they access devices, share files for their projects, what apps they use, preferred networks and devices. When a user exhibits abnormal behavior, these sophisticated UBA solutions autonomously take action in real-time to block the user’s device before data is compromised.<\/span><\/p>\n

Also Read-<\/strong><\/em><\/p>\n

HOW TOXIC WORK ENVIRONMENT CAN BE HAZARDOUS FOR BOTH EMPLOYER & EMPLOYEE?<\/span><\/strong><\/em><\/a><\/p>\n

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What to Look for in a User Behavior Analytics Product?<\/b><\/h2>\n

It\u2019s imperative to choose a security analytics tool that best fits your organization\u2019s security operations, users, and infrastructure, considering every UBA software is different from another.<\/span><\/p>\n

Cyber thieves go after data, including files and emails, so user and entity behavior analytics that support canned rules only, pure perimeter-based analysis won\u2019t be able to keep up with clever hackers. UBA with access to granular files and email activity has a better chance of providing complete data analysis.<\/span><\/p>\n

Presenting below a list of key factors to consider for a user behavior analytics(UBA) solution that can take on the new generation of hackers-<\/strong><\/em><\/p>\n