Exabeam Advanced Analytics Overview
Exabeam Advanced Analytics is a robust component of the Exabeam Security Operations Platform, designed to enhance threat detection, investigation, and response capabilities within an organization. Here’s a detailed look at what the product does and its key features:
What Exabeam Advanced Analytics Does
Exabeam Advanced Analytics leverages User and Entity Behavior Analytics (UEBA) to identify and mitigate advanced security threats, including compromised insiders, malicious actors, and sophisticated cyber attacks. It integrates with existing SIEM and log management systems to collect and analyze a wide range of data sources such as logs from Domain Controllers, VPNs, security alerts, and Data Loss Prevention (DLP) systems. This integration enables a comprehensive understanding of user and entity activities within the IT environment.
Key Features and Functionality
Data Collection and Enrichment
Exabeam Advanced Analytics collects data from various log sources and external context data sources. It normalizes and enriches these logs with contextual information about users and assets, often drawing from sources like Microsoft Active Directory to provide detailed identity and role information. This enrichment process includes machine learning to categorize users and assets accurately, such as distinguishing between regular users and service accounts.
Stateful User Tracking
The platform employs Stateful User Tracking technology to follow user sessions from the moment they enter the IT environment until they log off or remain idle. This tracking connects user activities across multiple accounts, devices, and IP addresses, providing a holistic view of user behavior.
Behavior Analysis and Anomaly Detection
Exabeam continuously maintains a baseline of normal behaviors for each user and group within the organization. It compares new activities against this baseline to detect anomalies, which are then reported if they are deemed inconsistent. This behavior analysis is powered by statistical modeling and machine learning algorithms.
Risk Engine
The Risk Engine is a critical component that combines data science and security expertise to quantify the risk of detected anomalies. It assigns risk scores based on various factors, including privilege levels, security alerts, and threat intelligence. Incidents are automatically generated when these risk scores exceed predefined thresholds, ensuring timely and effective response to potential threats.
Incident Management and Integration
Exabeam Advanced Analytics integrates seamlessly with existing SIEM systems and ticketing platforms. It generates incidents within the Case Management module or escalates them to external systems, ensuring that security teams can respond promptly to high-risk activities. The platform also incorporates security alerts from third-party sources, such as FireEye or CrowdStrike, into the risk scoring process.
Customizable Correlation Rules
Users can create, test, and publish custom correlation rules to identify and escalate anomalies based on predefined relationships. These rules can be tailored to critical business credentials and devices, leveraging threat intelligence services to enhance their effectiveness.
AI-Driven Automation
The Exabeam Security Operations Platform, which includes Advanced Analytics, leverages AI and automation to streamline security operations workflows. This approach enables scalable and efficient threat detection, investigation, and response, making it easier for security teams to combat cyber threats holistically.
In summary, Exabeam Advanced Analytics is a powerful tool that enhances an organization’s security posture by providing deep insights into user and entity behavior, detecting anomalies, and quantifying risks. Its integration with existing security infrastructure and use of advanced analytics and AI make it a comprehensive solution for modern security challenges.