Security Operations
Graylog Security
SIEM for lean teams with anomaly detection, risk scoring, and a built-in security data lake
Graylog Security Overview
What it does
Graylog Security is a security information and event management (SIEM) platform built on the open-core Graylog log management stack and designed for lean security teams. It pairs behavioral detectors, including impossible travel detection and log volume anomaly detection, with asset-based risk scoring so alerts are prioritized by actual organizational risk rather than raw volume. A built-in security data lake stores years of logs without counting against license consumption, removing the visibility versus cost tradeoff of traditional SIEMs.
How it works
The platform ingests logs via Syslog, CEF, GELF, Beats, IPFIX, and NetFlow, then normalizes and enriches them with Illuminate content packs that supply parsers, dashboards, and Sigma detection rules aligned to the MITRE ATT&CK framework. A correlation engine and machine learning user and entity behavior analytics (UEBA) anomaly detection surface threats that fixed rules miss, while vulnerability scan ingestion feeds asset and event risk scores. Risk threshold breaches auto-create investigations with consolidated event procedures, and AI summaries produce audit-ready reports at case closure. A built-in Model Context Protocol (MCP) server supports natural language investigation using a customer-supplied large language model.
Credentials and traction
Graylog was named in the 2025 Gartner Magic Quadrant for Security Information and Event Management (SIEM) and positioned as a Leader and Outperformer in GigaOm's 2025 Radar Report for SIEM. The Graylog Cloud environment is SOC 2 Type II certified. The platform serves more than 60,000 organizations worldwide, with 200,000+ IT and security professionals using Graylog every day, and targets lean security teams, MSSPs, and regulated industries including healthcare, banking, and the public sector.
Key Capabilities
mapped to solution categoriesFilters, routes, transforms, and enriches event data in the ingestion pipeline before storage, letting teams drop low-value data and tier the rest to control volume and cost.
Provides built-in orchestration and automated response through playbooks on alerts and cases rather than requiring a separate SOAR product.
Ships vendor-maintained detection rules and use cases mapped to MITRE ATT&CK with minimal configuration, with breadth, accuracy, and update cadence varying across platforms.
Lets analysts author, test, and version custom detections, including detection-as-code and imports of Sigma and YARA rules, with tooling depth varying across platforms.
Manages and applies threat intelligence natively to enrich and prioritize detections, supporting vendor-curated and third-party feeds with availability varying by platform.
Offers on-premises, cloud-hosted, cloud-native, and SaaS deployment options for data residency, sovereignty, and air-gap requirements, with availability varying by platform.
Includes behavioral baselining and anomaly detection for users and entities in the core platform, eliminating the need for a separate UEBA product and the associated data movement.
Stores security event data long term with searchable recall across tiered hot and cold storage, with support for embedded or bring-your-own data lakes varying by platform.
Provides prebuilt reports and dashboards mapped to frameworks such as PCI DSS, HIPAA, and GDPR, with out-of-the-box breadth varying across platforms.
Stores essential event data long term and keeps it available for long-term searching with flexible retention options.
Investigates, evidences and reports on security alerts with case management to support incident response.
Normalizes, enriches and risk-scores ingested data from third-party systems such as threat intelligence sources and CMDB.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 4, 2026
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