AI Innovation
Exabeam pioneered AI in SIEM, using machine learning-based AI for over 10 years to enable faster and more accurate threat detection, investigation, and response (TDIR).
AI-DRIVEN SECURITY OPERATIONS PLATFORM
10+ years leading AI and security operations
Exabeam uses machine learning-based AI to expedite threat detection, investigations, and data onboarding with unmatched accuracy.
HIGHER-FIDELITY DETECTIONS
Find and stop threats others miss
Using 1,800+ anomaly rules including cloud infrastructure security, 795+ behavioral models that learn normal user and device behavior, and nearly 200 pre-built correlation rules, Exabeam identifies and correlates security detections holistically, minimizing blind spots.
SCALABLE DATA PLATFORM FOR AI
Cloud-native infrastructure optimized for data analytics
The data processing requirements of AI can only be met with a cloud-native infrastructure optimized for speed and scalability. Unlike most offerings in the market, the Exabeam platform is uniquely positioned to take advantage of the data requirements of AI.
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INDUSTRY-LEADING UEBA
Automated timeline of risk-based anomalies
Exabeam UEBA leverages machine learning-based AI to understand user and device behavior, scoring activity by risk for better threat detection, prioritization, and response. Visualize scored events chronologically within automated timelines.
- Detect overlooked behaviors
- Spot lateral movement, privilege escalation, credential swapping, and more
- Visualize complete incident history
DRIVE NEW PRODUCTIVITY WITH GENERATIVE AI
Upskill analysts, accelerate investigations
Exabeam Copilot enables security analysts with powerful productivity and insights, improving their cybersecurity efficiency and expertise. By automating tasks, simplifying queries, and delivering actionable insights, Exabeam Copilot leverages generative AI to drive improved TDIR.
- Elevate security expertise
- Boost threat hunting productivity
- Enhance communication and collaboration
DETECT ANOMALOUS USER ACTIVITY
Dynamic user grouping for behavior analysis
Patented Dynamic Peer Grouping uses machine learning-based AI to categorize users by behavior, enabling comparison against normal group behavior to detect and flag anomalous, risky activity.
PRIORITIZE THIRD-PARTY ALERTS
Machine learning-based AI for alert triage
Exabeam employs machine learning to automate prioritization of third-party and Exabeam alerts based on rarity, frequency, and other factors. It then classifies alerts by criticality for efficient review prioritization.
Learn More About Exabeam
Learn about the Exabeam platform and expand your knowledge of information security with our collection of white papers, podcasts, webinars, and more.