Cybersecurity 101back-iconWhat are Behavioral Analytics?

What are Behavioral Analytics?

Behavioral analytics is a cybersecurity approach that analyzes patterns of user, device, application, or network activity to identify anomalies that may indicate security risks or malicious behavior. Rather than relying solely on predefined rules or known threat signatures, it establishes a baseline of normal activity and detects deviations from that baseline.

Organizations use this to improve threat detection, investigate suspicious activity, and gain deeper visibility into their environments.

How does behavioral analytics work?

It collects and analyzes activity data from various sources across an organization’s technology ecosystem.

A typical process includes:

  • Collecting activity data from users, devices, applications, and networks.
  • Establishing a baseline of expected behavior.
  • Monitoring ongoing activities against that baseline.
  • Identifying anomalies or unusual patterns.
  • Generating alerts or triggering security workflows for investigation.

This approach helps security teams focus on behaviors that may warrant further analysis.

What types of activity can it detect?

Behavioral analytics can be applied to a wide range of security scenarios.

Activity Type  Example Indicator 
User Behavior  Unusual login times or locations 
Device Activity  Unexpected configuration changes 
Network Behavior  Abnormal communication patterns 
Application Usage  Access to resources outside normal patterns 
Privileged Activity  Unusual administrative actions 

These observations can help organizations identify potentially risky or unauthorized activity that might otherwise go unnoticed.

Behavioral analytics vs signature-based detection

It complements traditional detection methods by focusing on activity patterns rather than known indicators.

Characteristic  Behavioral Analytics  Signature-Based Detection 
Detection Method  Analyzes activity patterns  Matches known threat indicators 
Unknown Threat Visibility  Can help identify anomalous activity  Limited to known threats 
Dependence on Threat Database  Lower  Higher 
Context Awareness  Can provide more behavioral context  Often less context-rich 

Using both approaches together can provide broader security visibility.

How Hexnode supports endpoint visibility

Hexnode helps organizations strengthen endpoint management and security through centralized device management, compliance monitoring, policy enforcement, and endpoint visibility.

Organizations can use Hexnode to:

  • Monitor device compliance status
  • Enforce security policies across managed devices
  • Deploy operating system and application updates
  • Manage applications and configurations centrally
  • Restrict unauthorized software installations
  • Maintain visibility across distributed device fleets

By helping organizations maintain compliant and up-to-date managed devices, Hexnode supports endpoint security practices through centralized visibility into managed devices, compliance status, and application management.

Why is behavioral analytics important?

Modern attacks often involve legitimate accounts, trusted devices, or techniques that do not immediately match known threat signatures.

Behavioral analytics helps security teams identify unusual activity by analyzing deviations from normal behavior patterns. This capability can support earlier investigation of suspicious activity and improve visibility into potential security events.

FAQs

No, User and Entity Behavior Analytics (UEBA) is a specific cybersecurity application which focused on users and entities.

Some solutions use machine learning, while others rely on statistical models, rules, or a combination of techniques.

It can help identify unusual user actions or access patterns that may warrant investigation.