Gartner’s latest security tool metric has been released: the Integrated Security Operations Center (ISOC). This new category marks and predicts the market change of AI-enabled tools demanding, above merely a functioning SIEM, cohesion and unity in their operation and performance. Though SIEM isn’t going anywhere, security needs are evolving in the age of AI-powered threats, and customers will be demanding more from their security providers.
SIEM dissolving as the all-encompassing metric of security operations reflects another significant market shift in security operations. SIEMs are no longer sufficient to collect data, support investigations, and manage incidents; instead, the SIEM has separated into distinct architectural layers. SIEM platforms, which remain the security system of record for collecting, normalizing, searching, and analyzing event data, are now distinct from the Integrated Security Operations Center (ISOC) solutions. ISOC is tasked with unifying detection, investigation, case management, and response across security domains and security/observability data pipelines.
This stratification is only getting more and more essential in the AI age. Data management, analytics, and operational responseare now separate problems, which means they all demand separate solutions. ISOC gets more and more important to reduce costs, latency, and operational friction.
The goal of the new category, of carving out and defining ISOC, then, is instead to adapt and assess the ability of a vendor to integrate classic SIEM logic with an expanded threat detection investigation and response (TDIR) capability. Reduced complexity is especially key for lean teams who prioritize efficiency and streamlined workflows, and the goal of ISOC is to reduce the friction that comes with conglomerating a wide variety of different security tools to contrive full visibility.
In short, ISOC emphasizes the pain point that every security team faces today. A single vendor streamlines the production of a providing a flexible and adaptable, yet holistic and transparent security solution. This enables a business to be both flexible and efficient.
Gartner also identifies the need to drive down costs, reduced deployment time, and the unsustainability of currently growing SIEM complexities as the primary drivers for ISOC.
Common features of the ISOC, as Gartner writes, include native detection and response services, incident case management, and extended case management of data ingestion. ISOC should reduce the friction between security tools and the latency between data, context, decision, and action. Machine-speed responses are more essential than ever in an age where attackers are all armed with the most advanced AI tools.
The necessity of ISOC is a result of latency challenges that business can no longer afford, in Native Detection and Response, Security Data Ownership, Incident Case Management, Cross-Domain Correlation, and Automation and Agentic Response, and Open Ingestion and Response Fabric.
Detection and response must operate on the same underlying security data, not through loosely connected point products. Native controls reduce latency between signal, correlation, investigation, and action. ISOC starts with control of the data layer: ingesting, normalizing, enriching, retaining, and making telemetry available for detection and AI reasoning. If the platform does not control the data model, every downstream analytic or agent is working through integration boundaries.
Alerts, entities, evidence, timelines, and analyst actions are assembled into a persistent incident object. The case becomes the operational unit for investigation and response rather than individual alerts. Endpoint, network, identity, cloud, application, and third-party telemetry must be correlated against a common schema and context model. This is what allows weak individual signals to become a high-confidence attack story.
Automation should operate directly against normalized data and incident context, enabling AI agents and playbooks to investigate, enrich, recommend, and execute actions without repeatedly rebuilding context. ISOC must connect broadly to existing security infrastructure while minimizing translation and API friction.
The objective is a common data and control plane where third-party tools contribute signals and become response surfaces.
Looking Ahead
As the SIEM market grows, the market share will be divided to include ISOC vendors, who will expand their offerings to include coverage in identity, cloud/Saas management, and email security.
The market is only reflecting the dynamics that security teams have been feeling for years, which has been exacerbated exponentially by the adoption of AI by threat agents. Simply agglomerating more tools is neither strategic, nor effective. And a single vendor approach is key to striking the right balance between efficacy and simplicity. Finding the right tool portfolio now means finding the right vendor.
The market confirms what Stellar Cyber postulated: modern operational needs demand integrated, unified capabilities. From setting an open integration standard to incorporating AI-native capabilities, ISOC environments are meant to simplify operations without compromising coverage or visibility.
As an MSSP, staying ahead of customers’ demands means recognizing their existing pain points and taking measures to ease their transition to a seamless and full-cycle security posture.
An AI SOC that starts with somebody else's alert is already too late. And an MSSP that is busy juggling security tools is already behind.
Anticipating the limitations of fragmented security stacks leads to natively unified operational platforms. By normalizing raw data from any source through high-context schema technology, modern ISOC solutions deliver the precise, consolidated out-of-the-box outcomes now expected in the market.
Stellar Cyber collects and normalizes telemetry, detects suspicious activity, correlates evidence, builds cases, investigates incidents, triages findings, and drives response from the same security architecture. That gives people and AI access to the evidence behind the alert, not just the alert itself.
About the author
Aimei Wei is the Co-founder and CTO of Stellar Cyber, a Silicon Valley-based cybersecurity analytics company founded in 2015. She is the primary visionary behind the company's Open XDR (Extended Detection and Response) platform, which uses artificial intelligence and machine learning to simplify security operations for lean enterprise teams and Managed Security Service Providers (MSSPs).
