Augment your SOC team with AI
Exabeam Nova acts as an extension to your SOC team
Exabeam Nova automates routine tasks like detection analysis, threat classification, and case summarization. With agentic AI, analysts can focus on what matters most: faster investigations, advanced threat hunting and strategic security initiatives.
Enhance security posture against AI-driven threats
As adversaries weaponize AI, Exabeam Nova provides the New-Scale Platform one more mechanism for defending against unknown threats. As a key element in your defense, Exabeam Nova adds to the protection enabled by machine-learning models, behavioral rules, and generative AI to speed investigations, reduce false positives, and boost analyst productivity.
Platform-wide integration for a unified experience
Unlike standalone AI tools like Microsoft Copilot and others, which require additional licensing and a separate UI, Exabeam Nova is fully integrated in the New-Scale Platform – offering a unified experience with no added cost or complexity.
Maintain data security and compliance
Exabeam Nova upholds the highest security standards, ensuring end-to-end encrypted data transport and preventing cloud caching of investigation details. No customer data is ever used to train AI models, helping organizations stay compliant with industry regulations. Exabeam Nova further supports compliance efforts with dashboard creation using natural language search.
Streamline threat hunting with natural language search
Exabeam Nova simplifies threat hunting by enabling analysts of any skill level to create complex queries using natural language. The results: accelerated threat hunting, reduced skill barriers for advanced analysis, and optimized resource allocation.
Context and enrichment
Exabeam enrichment capabilities deliver powerful benefits to several areas of the platform. Exabeam supports enrichment using three methods: threat intelligence, geolocation, and user-host-IP mapping. Armed with the most up-to-date IoCs, our Threat Intelligence Service adds enrichments such as file, domain, IP, URL reputation, and TOR endpoint identification to prioritize or update existing correlations and behavioral models. Geolocation enrichment improves accuracy with location-based context added that is often not present in logs. Outside of authentication sources, user information is rarely present in logs. Exabeam user-host-IP mapping enrichment adds user and asset details to logs which is critical to building behavioral models for detecting anomalous activity.
Open and extensible platform
Open is in our DNA. Our data collection spans 200+ on-premises products, 34 cloud-delivered security products, 10+ SaaS productivity applications, and 20+ cloud infrastructure products. We support a variety of transport methods including APIs, agents, syslog, and log aggregators such as SIEM or log management products. Validated by our partners in the XDR Alliance, Exabeam developed and maintains a Common Information Model (CIM) that adds security context to, and speeds the ingestion of, raw logs for event building, resulting in faster onboarding and adoption of new parsers using a common format. The platform includes 7,937 pre-built parsers representing 549 different products. For response automation and orchestration, Exabeam integrates with 65 vendors providing 576 response actions.
10,089 pre-built parsers
As it is ingested, data is parsed using over 10,000 pre-built log parsers and enriched using context sources from open source and commercial threat intelligence feeds
2,500+ rules and models
Over 1,800 rules, including cloud infrastructure security, and over 793 behavioral model histograms that automatically baseline normal behavior of users and devices.
2,000,000+ events per second
Rapid log ingestion processing at a sustained rate of over 2M EPS.