2014 Gartner Magic Quadrant for Security Information and Event Management


GMQ-SIEM-2014

Broad adoption of SIEM technology is being driven by the need to detect threats and breaches, as well as by compliance needs. Early breach discovery requires effective user activity, data access and application activity monitoring. Vendors are improving threat intelligence and security analytics.

Market Definition/Description

This document was revised on 1 July 2014. The document you are viewing is the corrected version. For more information, see the Corrections page on gartner.com.

The security information and event management (SIEM) market is defined by the customer’s need to analyze security event data in real time for internal and external threat management, and to collect, store, analyze and report on log data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have technologies that have been designed for this purpose, and they actively market and sell these technologies to the security buying center.

SIEM technology aggregates event data produced by security devices, network infrastructures, systems and applications. The primary data source is log data, but SIEM technology can also process other forms of data, such as NetFlow and packet capture. Event data is combined with contextual information about users, assets, threats and vulnerabilities. The data is normalized, so that events, data and contextual information from disparate sources can be correlated and analyzed for specific purposes, such as network security event monitoring, user activity monitoring and compliance reporting. The technology provides real-time security monitoring, historical analysis and other support for incident investigation and compliance reporting.

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