Purpose, essential aspects and key features
Purpose, essential aspects and key features
Last updated: 15 July 2026
Security information and event management (SIEM) is a configurable system of record that collects, aggregates and analyzes security event data from on-premises and cloud environments. SIEM processes security event data for the purposes of threat detection, investigation and response. It natively supports data normalization and offers user-configurable detection content and reporting to orchestrate threat mitigation and satisfy compliance requirements. These solutions are delivered via a SaaS platform or client-hosted on-premises or private cloud.
The mandatory features for this market include:
Collection of infrastructure details and security-relevant data from a wide range of assets located on-premises and/or in cloud infrastructure
Flexible data retention options for storing essential event data long term and/or making it available for long-term searching
Ability for end users to self-develop, modify and maintain threat detection use cases using correlation-, analytics- and signature-based methods
Vendor-provided content for security detection and response (analytics, data normalization, collection correlation, enrichment and reporting) for both native and non-native solutions
Capability to create and customize detection and response content
Report generation to support business, compliance and audit needs, as required
Client-created workflow augmentation capability to support incident response activities and reporting
Ability to investigate, evidence and report on discovered security alerts generated by active detection content
The common features for this market include:
Allow for mixed methods of data collection that include both streaming event data and static telemetry, such as file processing, API-retrieved or system configuration data
Multiple deployment options to include on-premises, cloud-hosted, cloud-native or SaaS
Normalization, enrichment and risk-score data ingestion from third-party systems, such as threat intel sources or configuration management databases (CMDBs)
Provision of case management processes and support for incident response actions
Workflow augmentation features, such as automation, orchestration of common tasks and use of AI
The ability to use various data science techniques to generate detections on a wide range of behaviors, such as user, network, application or object, that indicate attack activities
Threat intelligence platform (TIP) capabilities to manage intelligence feeds and supply contextual information about threats that may include native threat intelligence
A marketplace that allows clients to subscribe to threat content and facilitates integration with third-party technologies
Federated search into diverse vendor SIEM environments that allows for analysis and functioning using a centralized interface
Decentralized search functionality to query events from outside the vendor data repository and pull in additional enriching information, where appropriate
Extended detection and response (XDR) interoperability that includes the use of endpoint detection and response (EDR), network detection and response (NDR), or other extended telemetry and response capabilities
Third-party data lake platform integrations for storage and search
Buyers typically have mature security operations (SecOps) programs with staff and the experience to deploy, maintain and operate a SIEM for threat detection, investigation and response. Less mature SecOps programs buy SIEM to maintain their security data’s custody while outsourcing management and monitoring to a third-party co-managed security monitoring service provider.
Chief information security officers (CISOs), security leaders and IT leaders in organizations that do not have enough available security maturity and skill sets to staff an internal security operations center (SOC) 24/7
To explore peer-reviewed vendors serving this market, visit Gartner Peer Insights for SIEM Solutions.
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