• Startseite
>
• Ressourcen
>
• Führung

Exabeam vs. Splunk: Sechs Möglichkeiten zum Vergleichen und Bewerten

Führung

A side-by-side framework for comparing cost, tuning, behavioral visibility, scale, detection coverage, and AI-guided investigation

SIEM platforms that look similar on paper can produce very different security outcomes because architecture, analytics, and investigation workflows determine how quickly teams find and respond to risk.

As SIEM deployments grow, many security teams face unpredictable pricing, modular add-ons, and constant rule tuning. Meanwhile, credential misuse, insider activity, and AI agent misuse unfold through legitimate access over time, where static rules and isolated alerts can miss the sequence.

This guide compares Exabeam and Splunk in six areas, from cost predictability to AI-guided investigation. It shows how New-Scale Fusion, Agent Behavior Analytics (ABA), and Exabeam Nova AI connect detection to response, and how teams can add behavioral analytics while keeping Splunk in place.

Wichtige Fragen, die dieser Leitfaden beantwortet

• How do Exabeam and Splunk pricing models affect cost forecasting as data volumes and use cases grow?
• Which platform requires less SPL expertise, correlation-rule maintenance, and manual false-positive tuning?
• How does behavioral analytics detect slow-moving human and AI agent risk that static rules miss?
• How can you measure detection coverage against MITRE ATT&CK^® and prioritize gaps?
• How do Nova AI agents and the Splunk AI SOC Analyst differ in scope and operational limits?
• Can you add behavioral detection and risk scoring without replacing Splunk?

How Exabeam Works Alongside or in Place of Splunk

New-Scale Fusion unifies ingestion, parsing, analytics, detection, and investigation in one cloud-native platform. For teams not ready to migrate, New-Scale Analytics adds behavioral detection, dynamic risk scoring, and AI-assisted investigation while Splunk remains the log collection and storage layer. Exabeam ingests live and historical data through collectors or APIs, normalizes it to the Common Information Model (CIM), and uses Outcomes Navigator to map detections to use cases and ATT&CK.

Download the guide to compare Exabeam and Splunk in six areas and choose the modernization path that fits your security operations.