Exabeamでリスクの高い脅威を検知する

Detect complex threats across your workforce, devices, service accounts, and AI agents using precise risk-based threat detection.

デモのリクエスト

ai駆動検出

Identify Threats Other Tools Overlook

New-Scale Fusion uses advanced AI to build behavioral baselines for users and entities while giving you visibility into AI agent activity. It correlates events, applies risk scores, and surfaces credible threats so your team can respond faster.

DETECT ANOMALOUS BEHAVIOR

Pinpoint High-Risk Anomalies

Exabeam identifies meaningful deviations from normal behavior by building behavioral baselines that reveal high-risk anomalies. Agent Behavior Analytics gives your team visibility into AI agent activity to uncover suspicious actions and a new class of insider risk.

Act on anomalous activity Detect security threats by identifying risky and abnormal activity deviating from typical behavior of machines and people. User and entity behavior analytics (UEBA) establishes baselines to flag high-risk anomalies.

脅威の優先順位付け

Focus on Credible Threats With Intelligent Prioritization

New-Scale Fusion groups related detections and uses multi-layered risk scoring to surface credible threats. By evaluating event rarity and business context, it keeps your analysts focused on the alerts and cases that carry the most risk.

横方向の動きを検出する

Track the Complete Attack Progression

Trace subtle lateral movement through users, devices, IP addresses, credentials, and automated processes. Patented Exabeam technology reveals the full attack chain, giving analysts an end-to-end view without gaps.

STRENGTHEN DETECTION WITH CONTEXT

Gain a Comprehensive Understanding of Risk

Attack Surface Insights adds detailed entity context to detections by profiling users, devices, applications, and agents. By mapping asset relationships and criticality, New-Scale Fusion give your analysts the context needed to understand risk and gauge business impact.

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お問い合わせ

よくある質問

How does Exabeam detect and secure AI agents?

Exabeam applies Agent Behavior Analytics (ABA) within New-Scale Analytics to centralize visibility into agent activity. Your team can identify suspicious behavior, investigate agent-driven risk, and understand how agents interact with enterprise data and systems.

ジェネレーティブAIのガイドラインとガードレールについて詳しく教えてください。

Exabeam ensures all inputs and outputs processed by foundation models, adapter models, and safety classifiers remain proprietary customer data. This data is retained only long enough to generate Exabeam Nova output and is never added to foundation models.

How does Exabeam provide strong insider threat coverage?

Exabeam addresses insider risk across human and non-human identities. Behavioral analytics establish baselines for human users to reveal subtle deviations, while deep monitoring of AI agents and service accounts helps your team see and investigate high-risk activity among trusted identities.