How Kaseya SIEM works
The How Kaseya SIEM works section explains how Kaseya SIEM evaluates, correlates, and presents security activity once data is flowing into the platform. It is designed to help you understand why alerts and investigations appear the way they do, and how Kaseya SIEM connects related activity across sources into a single, context‑rich investigation experience.
This section focuses on mental models and system behavior, not on configuration steps or day‑to‑day operational tasks. It explains how security data is processed, how correlated activity becomes alerts, and how detection, investigation, and response relate conceptually within Kaseya SIEM.
Use this section to understand:
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How security data is ingested, processed, and correlated
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How alert‑centric investigation works in Kaseya SIEM
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How related activity across domains is connected
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How detection, investigation, and response fit together as a lifecycle
This section does not include onboarding steps, UI navigation, tuning guidance, or troubleshooting. Those topics are covered in Getting started with Kaseya SIEM, Using Kaseya SIEM, and later operational sections.
Articles in this section
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How Kaseya SIEM processes security data: Explains how security telemetry is ingested, normalized, and evaluated within Kaseya SIEM before it becomes alerts and investigations. This article provides the foundational understanding of how data moves through the platform.
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Alert‑centric vs event‑centric security (SIEM view): Explains how Kaseya SIEM differs from traditional event‑centric approaches by prioritizing alerts over raw events, and why this model improves investigation clarity and reduces noise
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Cross‑domain correlation: Describes how Kaseya SIEM correlates related activity across endpoints, infrastructure, network, and SaaS sources to provide broader context during investigation.
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IOC‑driven detection model: Explains how Indicators of Compromise (IOCs) are used within Kaseya SIEM detection logic to identify meaningful security conditions without relying on single events
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Detect > Investigate > Respond lifecycle: Describes the lifecycle Kaseya SIEM uses to move from detection to investigation and, when appropriate, to response. This article explains where automation fits and why response decisions are contextual rather than automatic
When to read this section
Read How Kaseya SIEM works when you want a shared mental model before working with alerts, investigations, or response rules, or when you need to explain how Kaseya SIEM behaves to customers or internal stakeholders.
After reviewing this section, continue to Using Kaseya SIEM to apply these concepts during day‑to‑day operations.