Enhance Threat Detection

The following article exclusively pertains to a Graylog Security feature or functionality. Graylog Security is a part of the Graylog centralized log management platform and requires a separate license. Contact the Graylog Sales team for more information on this product.

Improving threat detection requires more than just capturing logs and triggering basic alerts. Graylog’s security-focused tools provide enriched context, risk-based insights, and behavioral analysis to help security teams detect, investigate, and prioritize threats with greater precision.

This section of the documentation introduces key features that strengthen your detection strategy within Graylog: risk scores, asset enrichment, anomaly detection, and Sigma rule integration. Together, these tools empower you to identify both known threats and emerging anomalies, while providing the context needed for timely and effective response.

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Risk Scores

Risk scores provide a dynamic and cumulative way to evaluate potential threats. Rather than treating each log message or event in isolation, Graylog calculates risk scores by aggregating context—such as event severity, asset sensitivity, and detection chains—over time. These scores help analysts quickly identify which users or systems represent the greatest threat based on recent activity. By shifting focus from individual alerts to ongoing risk trends, you can make more informed decisions during investigation and response.

Asset Enrichment

Asset enrichment enhances the raw data coming into Graylog by appending contextual details such as hostname, IP reputation, location, department, or system criticality. This enriched context allows teams to quickly understand the relevance and sensitivity of affected systems, which accelerates triage and reduces time to resolution. Graylog can ingest enrichment data from both internal asset management systems and external intelligence sources, giving you a more complete picture of every event. Graylog als enables you to connect to third-party vulnerability scanners so that you can add vulnerability data to your machine assets.

Anomaly Detection

Anomaly detection adds another layer to threat visibility by identifying deviations from established behavioral baselines. This capability helps detect insider threats, misconfigurations, and zero-day attacks that may not match known detection signatures. By continuously evaluating log patterns over time, Graylog can highlight activity that falls outside of normal operational trends.

Sigma Rules

Sigma rules provide a standardized format for writing and sharing detection logic. Graylog supports the import and conversion of these vendor-neutral rules into event definitions, making it easy to deploy community-developed or custom-built threat detection patterns. Additionally, Graylog supports the use of Sigma Correlation, allowing you to analyze patterns across multiple log events over time.