AI-DRIVEN SECURITY OPERATIONS
A Decade of AI Leadership
Machine learning, generative AI, and agentic AI accelerate threat detection, investigation, and data onboarding. The Exabeam Common Information Model (CIM) normalizes data from hundreds of sources to power New-Scale Fusion and drive high-fidelity analytics.
- Behavioral analytics for precise detection
- Generative AI boosts analyst productivity
- Agentic AI elevates Tier 1 analysts to Tier 3 insight
- Security-centric CIM built for AI and analytics
SECURE THE AGENTIC ENTERPRISE
エージェント行動分析
Agent Behavior Analytics (ABA) extends UEBA to AI agents and autonomous activity. It analyzes behavior across Claude, ChatGPT, Google Gemini, Microsoft Copilot, and any agent sharing open telemetry to detect misuse, drift, and emerging risk.
- Baseline behavior for AI agents
- Detect abnormal agent activity
- Monitor tools, actions, and access
- Investigate risk with full context
AGENTIC AI
Automate and Augment Your Security Operations Team
Seven integrated AI agents advise your team, accelerate investigations, and surface deep security insight within New-Scale Fusion. Together, they improve how your team detects, investigates, and responds to threats.
- Cut investigation time by over 50%
- Increase productivity by up to 80%
- Save three hours per shift with faster triage
REAL-WORLD AI
AI Focused on Measurable Outcomes
AI-powered analysis produces measurable productivity gains and precise risk detection. A decade of UEBA expertise delivers high-fidelity results and helps your team govern AI platform and agent-driven risk.
- Improve coverage with Advisor Agent
- Track progress with benchmarking
- Cut response time with automated workflows
- Report clearly on business risk
- Use curated data for AI analysis
より正確な検出
Detect Threats Other Tools Miss
Machine learning baselines behavior and applies business context to highlight risk. New-Scale Fusion uncovers activity other tools miss and improves how your team responds to threats.
- Detect insider threats and AI abuse
- Reduce false positives with analytics
- Prioritize alerts by real risk
- Exabeam Nova assigns risk to alerts
SAFETY AND SECURITY
AI Security and Strategic Management
Behavioral analytics identifies misuse in AI activity and agent behavior. Outcomes Navigator measures AI security use cases and uses prebuilt dashboards to translate technical detail into business risk and compliance insights.
- Address AI risk with ABA
- Gain visibility into AI platforms
- Communicate business-level risk
Exabeamのライブおよびバーチャル・イベントに参加
今すぐ登録ADVANCED UEBA
Automated Timeline of Risk-Based Anomalies
Behavioral analytics baselines user and device behavior. Dynamic risk scoring prioritizes threats, while automated timelines show how activity unfolds. ABA extends the approach to non-human identities, including AI agents.
- Build timelines with Investigation Agent
- Query timelines with Search Agent
- Create charts from natural language
AGENT-DRIVEN INSIGHTS
Improve Analyst Speed and Accuracy
Agentic AI automates tasks, simplifies queries, classifies threats, and delivers targeted recommendations. These capabilities help your team work faster and improve detection, investigation, and response accuracy.
- Search with natural language
- Correlate and classify risk
- Get guidance from Advisor Agent
- Group related risks and alerts
異常なユーザー活動の検出
Dynamic User Grouping for Behavioral Analysis
Patented detection grouping uses machine learning to combine related risks into single cases. This approach eliminates isolated alerts and helps your team see how behaviors connect during investigations.
- View risk across grouped users and entities
- Reduce unnecessary investigations
サードパーティアラートの優先順位付け
Machine Learning For Alert Triage
Machine learning evaluates rarity, frequency, and risk to prioritize third-party and internal alerts. Dynamic risk scoring focuses your team on the highest-value work for faster triage.
- Ingest third-party alerts for context
- View multi-vendor alerts in one place
- Reduce alerts required for triage
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