New-Scale Analytics automates threat detection using machine learning-based behavioral analysis and dynamic risk scoring with business factor adjustments. It finds and prioritizes credential-based attacks that other tools miss.
New-Scale Analytics adds powerful behavioral analytics to your existing SIEM or data lake. It analyzes logs, enriches data with threat intelligence, and learns the normal behavior of every user and device. This allows it to find anomalies and apply customizable risk scores to help your team prioritize its response. Exabeam Nova, a team of AI agents, automates critical TDIR workflows, including triage, evidence collection, timeline creation, and threat summaries.
Protect your organization from insider threats.
Automate routine tasks so analysts can develop strategic skills.
Establish behavioral baselines for users, devices, and AI agents.
INTEGRATE WITH YOUR EXISTING ARCHITECTURE
Modernize Your Security Investments
A complete portfolio upgrade isn’t always practical. New-Scale Analytics integrates with your current security tools, adding machine-learned behavioral analytics to your existing SIEM architecture. This delivers powerful user and entity behavior analytics (UEBA) capabilities and agentic AI, helping your team work faster and more accurately without the disruption of a SIEM replacement.
Maximize the value of your existing security investments.
Use pre-built integrations with hundreds of third-party vendors and products.
AUTOMATE SECURITY TASKS WITH AI AGENTS
Extend Your SOC Team’s Capabilities
Exabeam Nova agents act as an extension of your SOC team by automating routine and strategic tasks. From analyzing detections to generating case summaries, Exabeam Nova automates workflows across your security operations.
Free up your team to focus on strategic security initiatives.
Automate triage with the Exabeam Nova Threat Scoring Agent.
機械学習による検出
Automate Threat Detection and Investigation
Security teams are often overwhelmed managing alerts from traditional tools that fail to identify insider threats and credential-based attacks. New-Scale Analytics learns what’s normal for your environment, identifies anomalies, and scores them based on business context to create a more precise view of threats.
Reduced maintenance with a self-learning, self-tuning engine.
Monitor AI agent behavior to detect the new wave of insider threats.
SELF-LEARNING BEHAVIORAL BASELINES
Know What’s Normal, Spot What’s Not
New-Scale Analytics continuously adapts to changes in your environment, using machine learning to build dynamic baselines for every user, device, and agent. When unusual activity occurs, it’s flagged and assigned a risk score based on business context and severity. This ensures your team can focus on real threats and minimize time spent on false alarms.
Apply multi-layered risk scoring for more accurate prioritization
Establish dynamic baselines for every user, device, and AI agent
New-Scale Analytics now includes Attack Surface Insights. This capability provides comprehensive context on every entity involved, automatically building a living profile for each user and device. It connects scattered accounts and adds business-critical details, such as a user’s executive status or an asset’s role as a domain controller.
New-Scale Analyticsは、ベンダーにとらわれないオープンなアプローチで構築されており、500 を超える特定のセキュリティ製品との事前構築済みの統合や、Open API Standard (OAS) を介した数千を超えるシンプルな製品統合を提供しています。これにより、既存のセキュリティ・アーキテクチャとのシームレスな通信が保証されます。これにより、現在のセキュリティ投資を継続しながら、脅威の検出と対応能力を強化することができ、インフラの全面的な見直しの必要性を回避することができます。
