Exabeam applies Agent Behavior Analytics within New-Scale Analytics to centralize visibility across AI platforms, including Claude, ChatGPT, Gemini, and Microsoft Copilot. Detections identify suspicious agent activity, abnormal tool use, autonomous actions, and behavior that deviates from expected roles.
Exabeamでリスクの高い脅威を検知する
Detect complex threats across users, devices, service accounts, and AI agents with 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 builds behavioral baselines for users and entities, including AI agents, within New-Scale Analytics. It correlates events, applies dynamic risk scoring, and surfaces credible high-risk threats so your team can investigate and respond faster.
DETECT ANOMALOUS BEHAVIOR
Pinpoint High-Risk Anomalies
Exabeam establishes behavioral baselines that highlight meaningful deviations from normal activity. Agent Behavior Analytics extends detection to AI agents, identifying suspicious actions, abnormal tool use, and insider risk across non-human identities.
脅威の優先順位付け
Prioritize the Most Credible Threats
New-Scale Fusion groups related detections and applies multi-layered, dynamic risk scoring to prioritize the highest-risk threats. By evaluating event rarity and business context, it keeps analysts focused on alerts and cases with the most risk.
横方向の動きを検出する
Track the Complete Attack Progression
Trace lateral movement across users, devices, IP addresses, credentials, and automated processes. Behavioral analytics and event correlation reveal complete attack paths, giving analysts an end-to-end view of activity without gaps.
STRENGTHEN DETECTION WITH CONTEXT
Gain a Complete View of Risk
Attack Surface Insights profiles users, devices, applications, and agents to enrich detections with entity context. By mapping relationships and asset criticality, New-Scale Fusion helps analysts understand risk and assess potential business impact.
まずは専門家にご相談ください。
お問い合わせよくある質問
How does Exabeam detect and secure AI agents?
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 as long as needed 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 reveals subtle deviations in user activity, while Agent Behavior Analytics detects suspicious activity from AI agents, service accounts, tools, and other trusted identities.
「Exabeamは、最初のアラームに続いて、アラームの重大度に関するコンテキスト情報と、さらにデータが必要な場合のタイムラインを即座に提供してくれます。SIEMは重大なアラートのみをプッシュするので、インシデント対応モードに切り替える必要があるかどうかがわかります。"
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セバスチャン・ビティグ
サイバーディフェンスセンター長｜r-tec IT Security
Exabeamのデモを見る
デモをリクエストして、Exabeamがセキュリティ・オペレーション・チームのエージェント型エンタープライズ・セキュリティ確保にどのように役立つかをご覧ください。
以下の事を学びます：
- 人間とエージェントの行動を監視・分析し、リスクを洗い出す
- 機械が構築したタイムラインで脅威を調査
- マルチエージェントAIを使用して、検知、調査、対応ワークフローを改善する。
- プレイブックを適用して意思決定を導く
- コンプライアンス要件のサポート
受賞歴のあるセキュリティのリーダー
