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Exabeam Expands Behavior Intelligence to Secure the Agentic Enterprise — Read the News

Exabeam pioneered AI in SIEM

AI Innovation at Exabeam

Advanced AI strengthens how you detect, investigate, and respond to threats. Exabeam now extends behavioral analytics to AI agents, helping your team secure the agentic enterprise.

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AI-DRIVEN SECURITY OPERATIONS

A Decade of AI Leadership

Machine learning, generative AI, and agentic AI accelerate threat detection, investigation, and data onboarding. The Exabeam Common Information Model (CIM) normalizes data from hundreds of sources to power New-Scale Fusion and drive high-fidelity analytics.

  • Behavioral analytics for precise detection
  • Generative AI boosts analyst productivity
  • Agentic AI elevates Tier 1 analysts to Tier 3 insight
  • Security-centric CIM built for AI and analytics
Deploy in a way that meets your requirements

SECURE THE AGENTIC ENTERPRISE

Agent Behavior Analytics

Agent Behavior Analytics (ABA) extends UEBA to AI agents and autonomous activity. It analyzes behavior across Claude, ChatGPT, Google Gemini, Microsoft Copilot, and any agent sharing open telemetry to detect misuse, drift, and emerging risk.

  • Baseline behavior for AI agents
  • Detect abnormal agent activity
  • Monitor tools, actions, and access
  • Investigate risk with full context

AGENTIC AI

Automate and Augment Your Security Operations Team

Seven integrated AI agents advise your team, accelerate investigations, and surface deep security insight within New-Scale Fusion. Together, they improve how your team detects, investigates, and responds to threats.

  • Cut investigation time by over 50%
  • Increase productivity by up to 80%
  • Save three hours per shift with faster triage

REAL-WORLD AI

AI Focused on Measurable Outcomes

AI-powered analysis produces measurable productivity gains and precise risk detection. A decade of UEBA expertise delivers high-fidelity results and helps your team govern AI platform and agent-driven risk.

  • Improve coverage with Advisor Agent
  • Track progress with benchmarking
  • Cut response time with automated workflows
  • Report clearly on business risk
  • Use curated data for AI analysis

HIGHER-FIDELITY DETECTIONS

Detect Threats Other Tools Miss

Machine learning baselines behavior and applies business context to highlight risk. New-Scale Fusion uncovers activity other tools miss and improves how your team responds to threats.

  • Detect insider threats and AI abuse
  • Reduce false positives with analytics
  • Prioritize alerts by real risk
  • Exabeam Nova assigns risk to alerts

SAFETY AND SECURITY

AI Security and Strategic Management

Behavioral analytics identifies misuse in AI activity and agent behavior. Outcomes Navigator measures AI security use cases and uses prebuilt dashboards to translate technical detail into business risk and compliance insights.

  • Address AI risk with ABA
  • Gain visibility into AI platforms
  • Communicate business-level risk

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ADVANCED UEBA

Automated Timeline of Risk-Based Anomalies

Behavioral analytics baselines user and device behavior. Dynamic risk scoring prioritizes threats, while automated timelines show how activity unfolds. ABA extends the approach to non-human identities, including AI agents.

  • Build timelines with Investigation Agent
  • Query timelines with Search Agent
  • Create charts from natural language
Automated timeline of risk-based anomalies

AGENT-DRIVEN INSIGHTS

Improve Analyst Speed and Accuracy

Agentic AI automates tasks, simplifies queries, classifies threats, and delivers targeted recommendations. These capabilities help your team work faster and improve detection, investigation, and response accuracy.

  • Search with natural language
  • Correlate and classify risk
  • Get guidance from Advisor Agent
  • Group related risks and alerts
Exabeam Nova in action

DETECT ANOMALOUS USER ACTIVITY

Dynamic User Grouping for Behavioral Analysis

Patented detection grouping uses machine learning to combine related risks into single cases. This approach eliminates isolated alerts and helps your team see how behaviors connect during investigations.

  • View risk across grouped users and entities
  • Reduce unnecessary investigations

PRIORITIZE THIRD-PARTY ALERTS

Machine Learning For Alert Triage

Machine learning evaluates rarity, frequency, and risk to prioritize third-party and internal alerts. Dynamic risk scoring focuses your team on the highest-value work for faster triage.

  • Ingest third-party alerts for context
  • View multi-vendor alerts in one place
  • Reduce alerts required for triage

See Exabeam in Action

Request a demo to see how Exabeam helps security operations teams secure the agentic enterprise.

You’ll learn how to:

  • Monitor and analyze human & agent behavior to uncover risk
  • Investigate threats with machine-built timelines
  • Use multi-agent AI to improve detection, investigation, and response workflows
  • Apply playbooks to guide decisions
  • Support compliance requirements

Award-Winning Leader in Security

  • CRN Security 100 | 2026
  • Cyber Security Excellence Awards 2026 - Winner
  • The Cyber Influencer of the Year | 2024
  • Cyber 60 - Fortune | 2024
  • Google Cloud Security Partner of the Year 2026 - Analytics & Operations