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Airrived Named a Cool Vendor in the 2026 Gartner® Coolest Vendor Innovations in Agentic AI Security

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Airrived, the company behind an enterprise Agentic OS designed to make every business user an AI expert, has been named a Cool Vendor in the Gartner Coolest Vendor Innovations in Agentic AI Security report published on October 2, 2026.

Airrived Co-founder and CEO Anurag Gurtu said, "We believe the Gartner recognition reflects a challenge we hear from enterprises every day: they're not short on AI models — they're short on people who know how to turn those models into secure, production-grade systems that actually work.

"Today, building autonomous AI still demands specialized talent, fragmented tooling, complex integrations, and heavy governance overhead. Airrived changes that."

Airrived turns business users into AI experts.

Airrived is an enterprise-grade Agentic OS and Sovereign AI Platform that lets business and domain experts build, deploy, and govern autonomous AI — without becoming AI engineers.

Users bring the domain expertise. Airrived brings the reasoning, enterprise context, orchestration, governance, and infrastructure needed to turn that expertise into autonomous systems capable of reasoning, collaborating, deciding, and acting.

Unlike copilots, which mainly assist users, or developer frameworks, which require teams to engineer agents from scratch, Airrived lets enterprises automate complex, multi-step work across cybersecurity, IT, and business operations.

The platform combines deep reasoning, Agentic Mesh, Context Lake, multi-agent orchestration, governance, and end-to-end Agentic Observability — plus pre-built agents and applications that dramatically shorten the path from AI experimentation to production.

Built for the Sovereign AI Enterprise.

Airrived gives enterprises full control over where and how their AI runs. It can be deployed in the cloud, in customer VPCs, on-premises, on private GPU infrastructure, or in fully air-gapped environments — keeping data, models, agents, context, and AI operations under customer control at all times.

That removes a major barrier to enterprise AI adoption: organizations can put autonomous AI directly into the hands of the people who understand the business, without requiring them to master the underlying technology.

"The future of enterprise AI isn't giving every employee a copilot," Gurtu added. "It's giving every employee the power to become an AI expert."

With adoption across Fortune 150 enterprises and organizations worldwide, this recognition follows a string of major product advancements from Airrived — including Agentic Observability and Sovereign Agentic AI — as the company continues advancing its vision for governed, autonomous AI across the enterprise.

Gartner subscribers can access the report here: https://www.gartner.com/document-reader/document/8461845?ref=TypeAheadSearch

*Source: Gartner Report, Coolest Vendor Innovations in Agentic AI Security, by AI and Cybersecurity Insights Team, 2, October 2026. Gartner is a trademark of Gartner, Inc. and/or its affiliates.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

About Airrived

Airrived is the company behind an enterprise Agentic OS designed to make every business user an AI expert. The platform enables organizations to consume, build, deploy, govern, and operate AI agents and agentic applications across cybersecurity, IT, and enterprise operations. Airrived supports enterprise AI deployments across on-premises, private infrastructure, and fully air-gapped environments.

"We believe the Gartner recognition reflects a challenge we hear from enterprises every day: they're not short on AI models — they're short on people who know how to turn those models into secure, production-grade systems that actually work.”

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