arcsight

ArcSight Intelligence

AI-driven User and Entity Behavior Analytics (UEBA) for advanced threat detection.

ArcSight Intelligence is a behavioral analytics solution leveraging machine learning to detect insider threats and cyberattacks that bypass traditional security infrastructure. It offers organizations real-time detection capabilities by establishing normal baselines and identifying anomalies across users, entities, and systems.

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ArcSight Intelligence is a behavioral analytics solution leveraging machine learning to detect insider threats and cyberattacks that bypass traditional security infrastructure. It offers organizations real-time detection capabilities by establishing normal baselines and identifying anomalies across users, entities, and systems.

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ArcSight Intelligence At a Glance

8.68

Editorial Score

Exceptional Machine Learning Capabilities
9
ArcSight Intelligence’s unsupervised learning engine is adept at modeling behavior over time, significantly improving anomaly detection and reducing reliance on predefined rules.
Flexible Integration with SIEM Tools
8.8
It integrates seamlessly with other Micro Focus tools and popular SIEM platforms, allowing for comprehensive threat monitoring and streamlined workflows.
Reduces Alert Fatigue
9.1
The system filters through millions of events to elevate only high-risk incidents, reducing noise and improving analyst efficiency.
Effective Insider Threat Detection
8.5
Its user and entity behavior analytics shine when identifying insider threats and compromised credentials by detecting even subtle deviations.
Somewhat Steep Learning Curve
8
While powerful, the platform can present a challenge for first-time users and requires a foundational understanding of security analytics to maximize value.

ArcSight Intelligence Pros & Cons

Pros

  • Advanced behavioral analytics using machine learning
  • Strong UEBA capabilities for insider threat detection
  • Integrates smoothly with most major SIEM products
  • Helps reduce alert fatigue with risk-based prioritization
  • Customizable dashboards and reporting

Cons

  • High initial setup and configuration complexity
  • May require skilled personnel to operate effectively
  • Can be resource-intensive to deploy
  • Limited visibility into algorithm decision-making
  • Not ideal for small-scale security environments

Key Points of ArcSight Intelligence

Uses unsupervised machine learning to detect evolving threats

Establishes baseline normal behavior for users and systems

Supports integration with ArcSight Enterprise Security Manager (ESM)

Reduces analyst workload through alert prioritization

Identifies threats missed by rule-based detection methods

Pricing Plans

No pricing plans available.

Overview

ArcSight Intelligence, part of the CyberRes portfolio from OpenText, offers a scalable UEBA solution that helps security teams correlate user and system behavior across the enterprise.

Unlike traditional rule-based platforms, it leverages advanced statistical modeling and unsupervised machine learning techniques to learn what ‘normal’ looks like within an organization.

Over time, the system becomes better at distinguishing benign anomalies from real threats, such as lateral movement, data exfiltration, and credential misuse.

One of the distinguishing features is its ability to work across various environments, including hybrid and multi-cloud infrastructures.

With seamless integration into ArcSight ESM and other SIEM tools, security teams can access actionable insights in real time and operationalize threat intelligence with minimal overhead. The platform’s time-aware analytics provide ongoing behavioral profiles that support forensic investigations and compliance efforts.

While some organizations may face a steep learning curve during initial deployment, the long-term benefits for threat detection and incident response are considerable.

Whether you’re tackling insider threats or reducing alert fatigue, ArcSight Intelligence delivers an AI-first approach to continuous cybersecurity monitoring.

Frequently Asked Questions

What is ArcSight Intelligence used for?
ArcSight Intelligence is used to detect advanced cyber threats, particularly insider threats, by analyzing user and entity behavior through unsupervised machine learning.
Is ArcSight Intelligence a standalone product?
It can function standalone but offers enhanced capabilities when integrated with ArcSight ESM or other SIEM systems for centralized threat monitoring.
How does it reduce alert fatigue?
By assigning risk scores and highlighting only significant behavioral anomalies, it prevents SOC teams from being overwhelmed by false positives and non-critical alerts.
What kind of machine learning is used?
ArcSight Intelligence uses unsupervised machine learning to detect deviations from normal behavior without relying on predefined rules or labeled datasets.
Is ArcSight Intelligence suitable for small businesses?
The platform is better suited for medium to large enterprises due to its complexity and resource demands, though smaller businesses with mature security teams can benefit as well.

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