AI Innovation at Exabeam
Exabeam is at the forefront of applying artificial intelligence to security operations. For over a decade, Exabeam has been an AI leader, improving the speed and precision of threat detection, investigation, and response (TDIR).
Request a Demo Tour the PlatformAI-DRIVEN SECURITY OPERATIONS PLATFORM
A Decade of AI Leadership
Exabeam uses machine learning, generative AI, and agentic AI to accelerate threat detection, investigation, and data onboarding with high accuracy.
- Machine-learned behavioral analytics for threat detection
- Generative AI for improved analyst productivity
- Agentic AI for assisted investigations and consistent response
AGENTIC AI
Automate and Augment Your Team
Augment your security team with Exabeam Nova, a team of six AI agents. This multi-agent experience proactively advises your team, accelerates investigations, and provides deep security insights without additional tools or cost.
- Reduce investigation times by over 50%.
- Boost analyst productivity by up to 80%.
- Save an average of three hours per shift on alert triage.
REAL-WORLD AI
AI Focused on Measurable Outcomes
The New-Scale Platform uses AI to deliver real productivity gains and precise risk detection. Our decade of UEBA expertise provides a foundation for high-fidelity threat detections that security professionals can rely on.
- Continuously improve security coverage with Exabeam Nova recommendations and benchmarking.
- Reduce mean time to respond (MTTR) with automated TDIR workflows.
- Ingest highly curated data specifically prepared for AI analysis.
HIGH-FIDELITY DETECTIONS
Detect Threats Other Tools Miss
The New-Scale Platform delivers highly effective threat detection using machine learning. By baselining normal behavior and applying business context to determine risk, the platform consistently detects threats earlier than other tools.
- Pinpoint hard-to-spot threats like insider threats and lateral movement.
- Reduce alert fatigue and false positives with both correlation and machine-learned analytics.
- Prioritize alerts from both third-party tools and internal sources to provide a single, unified view of risk.
- The Exabeam Nova Risk Scoring Agent ensures every alert is inspected and factored into risk.
SCALABLE DATA PLATFORM
Cloud-Native Infrastructure Optimized for AI
The cloud-native New-Scale Platform is optimized for the demanding processing requirements of AI, with a focus on speed, scalability and data preparation.
- Unlimited parallel processing power
- Elastic in scale to support the growing demands of security analytics
- Transforms raw data into organized, actionable security events
Webinar: The Machines are learning, but are we?
Register NowADVANCED UEBA
Automated Timeline of Risk-Based Anomalies
Exabeam UEBA capabilities use machine learning to baseline normal user and device behavior. By assigning risk scores to security events, organizations gain improved threat detection, prioritization, and response. These scored events can be visualized chronologically in timelines to provide clear insights into incident histories.
- The Exabeam Nova Investigation Agent automates timeline creation for cases.
- The Exabeam Nova Search Agent allows users to create a timeline from any query for supplemental investigations.
AGENT-DRIVEN INSIGHTS
Improve Analyst Skills and Accelerate Investigations
Exabeam Nova uses agentic AI to drive productivity and insight. By automating tasks, simplifying queries, classifying threats, and delivering actionable recommendations, Exabeam Nova supports faster, more accurate TDIR.
- Use natural language to search with the Search Agent.
- Automatically filter, correlate, and classify threats with the Risk Scoring Agent.
- Get personalized recommendations on use cases, data sources, and rule usage from the Advisor Agent.
- The Investigation Agent autonomously groups related user risks and alerts into single cases to reduce noise and show the full scope of a threat.
DETECT ANOMALOUS USER ACTIVITY
Dynamic user grouping for behavior analysis
Patented detection groupings uses machine learning-based AI to combine and group related risks into single cases. This eliminates standalone one-off alerts that often get overlooked.
- Understand full scope of threat with user/entity grouping
- Detection grouping reduces unnecessary cases
PRIORITIZE THIRD-PARTY ALERTS
Machine learning-based AI for alert triage
Exabeam uses machine learning to automate the prioritization of both third-party and internal alerts, assessing factors such as rarity and frequency. Alerts are then classified with dynamic risk scoring to streamline threat triage.
- Easily ingest third-party alerts and data for greater threat context and scoring precision
- Multi-vendor alerts delivered through a single user interface
- Reduce the number of alerts to triage
See Exabeam in Action
Request more information or request a demo of the industry’s most powerful platforms for threat detection, investigation, and response (TDIR).
Learn more:
- If self-hosted or cloud-native SIEM is right for you
- How to ingest and monitor data at cloud scale
- Why seeing abnormal user and device behavior is critical
- How to automatically score and profile user activity
- See the complete picture using incident timelines
- Why playbooks help make the next right decision
- Support compliance mandates
Award-Winning Leaders in Security
