Outcomes Navigator maps detection coverage to the OWASP Agentic Top 10 and highlights gaps. Exabeam Nova Advisor Agent recommends the data sources and detection content needed to close those gaps. Exabeam Nova Rule Creator helps teams act by creating, tuning, and converting detections quickly.
Exabeamで脅威カバレッジを向上
Understand and improve detection coverage across human and AI agent activity. New-Scale Fusion maps your current posture to key frameworks and identifies where to strengthen detection and response.
デモのリクエスト安全保障上の成果
Map Detection Coverage to Outcomes
Outcomes Navigator connects detection coverage to MITRE ATT&CK®, compliance frameworks, and the OWASP Agentic Top 10. It highlights gaps and prioritizes improvement. Exabeam Nova Advisor Agent recommends data sources and detection content to strengthen coverage.
検出工学を加速する
Create and Convert Detections Faster
Exabeam Nova Rule Creator helps teams build correlation rules and behavioral models using natural language. It also updates existing detections and converts Sigma and YARA rules into Exabeam-compatible detections.
クラウドスケールインジェスト
Onboard and Normalize Data Quickly
The open-source Exabeam Common Information Model converts raw logs into normalized security events. As data is ingested, it is categorized to support faster event creation, search, and threat hunting across infrastructure and AI services.
リスクに基づく脅威の優先順位付け
Prioritize High-Risk Activity
Behavioral analytics baselines users and entities to identify anomalies. Agent Behavior Analytics applies the same approach to AI agents. By correlating activity and assigning dynamic risk scores, Exabeam surfaces the threats that require investigation first.
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 improve AI agent threat coverage?
Is user and entity behavior analytics (UEBA) separate from the threat detection workflow?
No. In New-Scale Fusion, behavioral analytics and correlation rules work together to generate alerts and cases. They are presented in Threat Center timelines, where teams can respond in one workflow.
Agent Behavior Analytics (ABA), part of New-Scale Analytics, extends behavioral analytics to AI agents. APIs allow case data to integrate with external systems.
For organizations using LogRhythm SIEM, LogRhythm Intelligence can ingest risk-scored events from New-Scale Fusion to support a hybrid UEBA approach. New-Scale Analytics can also extend behavioral analytics into existing environments.
What threats can Exabeam help detect?
Exabeam helps identify threats that are difficult to detect with rules alone. These include credential misuse, insider risk, abnormal AI agent behavior, and activity that deviates from expected roles. Behavioral analytics and ABA correlate activity and highlight high-risk event for investigation.
「Exabeamを導入して以来、可視化、検知、豊富な機能セットにより、インシデントにまつわる膨大なコンテクストを別の角度から見ることができるようになりました。
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リンドバーグ・カルデイラ
セキュリティ・オペレーション・マネージャー｜SAパワーネットワークス
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
