UEBA Service

Identify and Respond to Insider Threats Proactively Using UEBA Service

Pulse Pixel’s User and Entity Behavior Analytics (UEBA) Service plays a crucial role in helping our SOC team detect and respond to insider threats that might otherwise remain undetected. By leveraging advanced machine learning models and behavioral analytics, the UEBA service continuously monitors user and system activities across the organization. It identifies patterns and flags behaviors that deviate from established user norms or baseline activity. This intelligent monitoring allows for early detection of suspicious actions by potential threat actors as they move laterally through business environments. With UEBA, your security team gains deeper visibility and faster response to internal and external risks.

The Key Features of UEBA Service

User and Entity Behavior Analytics (UEBA) Service enhances your organization’s security by monitoring and analyzing the behavior of users and entities across your network. It uses advanced machine learning and analytics to detect unusual or risky activities that deviate from established behavior patterns. This allows for early detection of insider threats, compromised accounts, and malicious intent that traditional security tools may overlook. By providing real-time alerts and contextual insights, UEBA helps security teams respond quickly and effectively. The service strengthens your threat detection capabilities while supporting compliance and reducing business risk.

Identity and Entity Context

The User and Entity Behavior Analytics (UEBA) Service collects security data from multiple sources, including event logs, deep packet inspection, and external threat intelligence. It analyzes this data to identify abnormal behavioral patterns that may signal insider threats or compromised accounts. By detecting these deviations early, UEBA helps prevent potential breaches before they escalate.

UEBA Machine Learning

The UEBA Service leverages advanced machine learning algorithms to sift through real-time security events and related data, uncovering risks that traditional signature-based methods often miss. It correlates and connects seemingly harmless events to detect subtle, low-and-slow attacks. By comparing user behavior against threat models, UEBA provides early warnings of sophisticated threats that evolve over time

Reduce False Positives

The User and Entity Behavior Analytics (UEBA) Service builds detailed behavior profiles for each user and entity it monitors. It continuously analyzes the context of their activities to identify deviations from normal behavior. This allows the system to accurately differentiate between genuine threats and harmless anomalies, significantly reducing false positives.

Protection Against Threat Chains

The UEBA Service identifies the individuals behind activities by linking actions to dynamic IP addresses in real time. This real-time correlation helps uncover the true source of suspicious behavior across the network. Human analysts are engaged only when the system highlights the most critical and actionable risks, ensuring efficient use of resources and faster threat response.

Protection Inside and Outside Your IT Assets

The UEBA Service continuously monitors a wide range of assets, including cloud environments, servers, storage systems, network devices, and endpoints. It is capable of detecting various types of attacks such as ransomware, phishing, insider threats, and DDoS attacks. With its powerful analytics, UEBA is also effective in identifying advanced persistent threats (APTs) and fraudulent activities across the organization.

Analysts’ Dashboards and Trouble Tickets

The User and Entity Behavior Analytics (UEBA) Service features a user-friendly dashboard that continuously highlights your top 10 active risks in a clear and visually appealing format. It allows analysts to easily identify abnormal user or entity behavior, along with related activities and security events. This streamlined visibility supports faster threat detection and more informed decision-making.

Multi layered Protection

Pulse Pixel Cloud Sandbox utilizes multiple machine learning models immediately upon file submission to analyze potential threats. The file is then executed in an advanced sandbox environment that simulates real user behavior. This approach is designed to outsmart anti-evasion techniques and accurately detect hidden or delayed malware actions.

Intelligent UEBA Security Solutions

In today’s complex digital environment, traditional security tools are no longer enough to protect against sophisticated cyber threats and insider risks. Intelligent UEBA (User and Entity Behavior Analytics) Security Solutions go beyond standard monitoring by leveraging artificial intelligence, machine learning, and advanced analytics to detect abnormal behavior patterns across users, devices, and systems.

Our UEBA platform continuously collects and analyzes data from multiple sources—such as login activity, access logs, network traffic, and endpoint behaviors—to create a baseline of “normal” activity for every user and entity in your environment. When deviations from these patterns are detected, the system triggers real-time alerts, helping your security teams to identify and respond to potential threats quickly and effectively.

Whether it’s a compromised user account, an unauthorized privilege escalation, or subtle lateral movement within your network, our intelligent UEBA solution brings these hidden threats to light. By correlating behaviors and contextual information, we help you detect insider threats, data exfiltration attempts, policy violations, and zero-day attacks—often before any damage is done.

With customizable dashboards, risk scoring, and integration with your existing SIEM and SOAR systems, our UEBA solution enhances your overall cybersecurity posture and operational efficiency. It empowers your organization to shift from reactive to proactive security—minimizing false positives, reducing response times, and improving threat intelligence.

Key Benefits:

Real-time anomaly detection and behavioral analysis
Machine learning-powered risk scoring
Early identification of insider threats and compromised credentials
Seamless integration with existing security infrastructure
Reduced false positives through context-aware analytics
Scalable to fit organizations of all sizes and industries

Use Cases of UEBA Service

Stolen Credentials

Attackers may steal user credentials. A standard monitoring tool may not detect fraudulent activity under genuine credentials, whereas UEBA Service does.

Targeted Devices/Accounts

Modern attackers may directly target CEO or CFO endpoints or accounts. User and Entity Behavior Analytics Service detects anomalous activities on privileged assets to block them.

Compromised Hosts

After gaining control of a machine or server in the corporate network, an attacker may go undiscovered for months or years. UEBA Service assists in detecting changes in system behavior and investigating if malicious activity is taking place.

Insider Threats

Insider threats provide a major security risk because they may avoid discovery. User and Entity Behavior Analytics Service identify suspicious behavior when a user transmits large amounts of data, escalates privileges, or accesses an unexpected application or system.

Lateral Movement

Attackers may utilize compromised endpoints or systems to access other user accounts and systems. UEBA Service monitors different systems for network anomalies.

Data Theft

User and Entity Behavior Analytics Service examines data transfers to verify whether the destination is valid and the suitability of the sent data for the user’s position and context.

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