Gartner Defines New Integrated Security Operations Center (ISOC) Category

Gartner has introduced a new category of security tools, the Integrated Security Operations Center (ISOC), signalling a significant evolution beyond traditional Security Information and Event Management (SIEM) platforms. This new framework addresses the increasing complexity of cybersecurity threats, particularly those exacerbated by artificial intelligence (AI), and the urgent need for more unified and efficient security operations.

According to Gartner, while SIEM remains crucial for collecting, normalising, searching, and analysing event data as a security system of record, it is no longer sufficient as an all-encompassing category for modern security portfolios. Instead, the SIEM has separated into distinct architectural layers, with ISOC solutions tasked with unifying detection, investigation, case management, and response across various security domains and data pipelines.

The stratification of security operations into distinct data management, analytics, and operational response layers has become essential as AI empowers attackers to deploy threats at machine speed. Gartner identifies the primary drivers for ISOC as the need to reduce costs, decrease deployment time, and combat the unsustainable complexities of current SIEM implementations. The goal of ISOC is to reduce the friction and latency often encountered when security teams conglomerate disparate tools to achieve full visibility and effective response.

Addressing Latency and Operational Friction

ISOC aims to resolve critical latency challenges that businesses can no longer afford. Key domains where ISOC is designed to improve operations include:

• Native Detection and Response: Ensuring detection and response mechanisms operate on the same underlying security data, eliminating delays caused by loosely connected point products.
• Security Data Ownership: Controlling the data layer from ingestion and normalisation to enrichment and retention, making telemetry readily available for detection and AI reasoning.
• Incident Case Management: Consolidating alerts, entities, evidence, timelines, and analyst actions into a persistent incident object, making the case, rather than individual alerts, the operational unit for investigation and response.
• Cross-Domain Correlation: Correlating telemetry from endpoint, network, identity, cloud, application, and third-party sources against a common schema and context model to transform weak signals into high-confidence attack stories.
• Automation and Agentic Response: Enabling automation to operate directly against normalised data and incident context, allowing AI agents and playbooks to investigate, enrich, recommend, and execute actions without redundant context rebuilding.
• Open Ingestion and Response Fabric: Broadly connecting to existing security infrastructure while minimising integration friction through a common data and control plane for third-party tool contributions.

The market is responding to these long-standing challenges faced by security teams, which have been exponentially exacerbated by the adoption of AI by threat actors. Simply adding more tools to an already fragmented security stack is no longer a strategic or effective approach.

Market Evolution and Future Outlook

While the SIEM market is projected to continue its growth, Gartner anticipates that its market share will increasingly be divided to include ISOC vendors. These vendors are expected to expand their offerings to cover areas such as identity, cloud/SaaS management, and email security. The shift reflects a foundational security thesis: modern operational needs demand integrated, unified capabilities.

ISOC environments are designed to simplify operations without compromising coverage or visibility, incorporating AI-native capabilities and setting open integration standards. By providing natively unified operational platforms that normalise raw data from any source through high-context schema technology, modern ISOC solutions aim to deliver the precise, consolidated outcomes now expected in the market. A case-centric approach to full-cycle detection and response is central to this, providing analysts with context-enriched cases rather than an overwhelming inundation of individual alerts.