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Stellar Cyber pitches full-cycle AI SOC for enterprises and MSSPs

Original title: Product showcase: Stellar Cyber’s ISOC platform provides full-cycle architecture

Help Net Security ()4 min read1
Part of a story covered by 2 sourcesStellar Cyber describes ISOC as full-cycle security operationsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

The vendor says one data model ties collection, detection, investigation, and response, with multi-tenant controls on what agents can see and do.

Stellar Cyber describes an Integrated Security Operations Center that collects and normalizes telemetry, correlates cases, and drives response from one architecture. It uses machine learning, GraphML, LLMs, and agentic AI against the same case model, with multi-tenant boundaries for enterprises, MSSPs, and MDR providers. IDC placed the company in the Leaders category of its 2026 MarketScape for Worldwide Standalone AI SOC Platforms; the article cuts off before finishing a Gartner reference.

Unconfirmed: The article is a vendor showcase and ends before stating what Gartner concluded about Stellar Cyber.

Key facts
  • IDC named Stellar Cyber a Leader in the 2026 MarketScape for standalone AI SOC platforms.
  • Native NDR sensors add flow, session, protocol, and file-movement evidence to other telemetry.
  • Multi-tenancy is framed as the control for which people and AI agents can act.
  • The platform is positioned to sit alongside existing endpoint, identity, firewall, and cloud tools.
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From the original article

4 min read at helpnetsecurity.com

An AI SOC that starts with somebody else’s alert is already too late. 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.

Help Net Security

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Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.