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إكزابيم مقابل مايكروسوفت سينتينل: خمس طرق للمقارنة والتقييم

دليل

A side-by-side framework for comparing data onboarding, behavioral analytics, investigation workflows, pricing, and embedded AI

SIEMs built around a single vendor ecosystem can leave third-party telemetry and externally built AI agents outside behavioral detection, so subtle threats sit in searchable logs that never feed a baseline.

Many security teams run a cloud-native SIEM built around one vendor ecosystem. Outside that ecosystem, onboarding telemetry can take custom parsing and query expertise, usage-based AI and query costs complicate forecasting, and third-party AI agents may fall outside native coverage.

This guide compares Exabeam and Microsoft Sentinel in five areas, from data onboarding to embedded AI. It shows how New-Scale Fusion, Agent Behavior Analytics (ABA), and Exabeam Nova AI extend behavioral detection to third-party data and AI agents, speed investigations with search timelines, and keep costs predictable.

الأسئلة الرئيسية التي يساعدك هذا الدليل في الإجابة عليها

• How much custom parsing and Kusto Query Language (KQL) expertise does it take to onboard non-Microsoft telemetry?
• What happens to logs from vendors outside Sentinel’s UEBA-eligible sources, and can you author your own behavioral analytics?
• How can you baseline AI agents built outside Microsoft without migrating every agent identity into the Microsoft ecosystem?
• How do search timelines and Nova AI agents reduce manual correlation compared with SCU-based Security Copilot?
• Which Sentinel costs beyond ingestion make total cost of ownership harder to forecast?
• Can you add behavioral analytics and dynamic risk scoring while keeping Sentinel in place?

How Exabeam Works Alongside Microsoft Sentinel

In an augmentation model, Sentinel stays in place. Exabeam adds behavioral analytics, dynamic risk scoring, and search timelines, so behavioral models generate insights, insights drive risk, risk prioritizes cases, and each case aligns to a complete timeline. With nearly 700 supported products and more than 10,000 prebuilt parsers normalized through the Common Information Model (CIM), New-Scale Fusion brings third-party data into behavioral detection without KQL expertise.

Download the guide to compare Exabeam and Microsoft Sentinel in five areas and strengthen detection and investigation.