Airrived
Agentic OS that unifies SOC, GRC, IAM, vulnerability management, IT, and business operations under one agent layer, with a builder for multi agent workflows, prebuilt security applications and customer fine tuned models.
Airrived is an enterprise agentic AI company whose flagship product, the Agentic OS, aims to be an operating layer for AI agents across cybersecurity, IT, and business operations rather than an AI feature bolted onto legacy tools. Founded in 2024 in Dublin, California and led by co founder and chief executive Anurag Gurtu, it emerged from stealth in February 2026 with six point one million dollars in seed funding led by Cannage Capital, with Plug and Play Ventures, Rebellion Ventures, and Inner Loop Capital, plus cybersecurity angel investors, and it names Aflac among its customers.
The platform lets teams build agents with a drag and drop wizard, as fine tuned, RLHF, RAG or autonomous agents, visually connect them into multi agent workflows, and link external agents over A2A through what it calls the Agentic Mesh.
A marketplace of prebuilt agentic applications covers SOC and threat intel operationalization, identity and access governance, third party risk, vulnerability and exposure management, AI guardrails and shadow AI, and security automation, with more than 20 prebuilt agents on the platform and 30 plus security agents.
More than 200 cyber and IT integrations, from CrowdStrike and Palo Alto Networks to Okta, ServiceNow and the major clouds, let agents monitor and act across the customer's systems, and customers can fine tune domain specific language models they own. Human in the loop execution, RBAC and policy based autonomy are named as design properties.
Airrived's pages are marketing level: they do not name model providers, hosting options, attestations or a developer API, and an Agentic Observability feature announced in September 2026 was billed as a reveal rather than a shipped product. For an enterprise that wants one agentic layer to reason and act across security and IT rather than assembling point tools, Airrived is an ambitious early option; a team needing a proven, narrowly scoped tool may prefer a more established specialist.
Vendor details
Canonical URL
https://airrived.ai
Category
Security / SOC agent
Subcategory
Agentic OS for security and IT operations
Funding status
Independent, headquartered in Dublin, California, founded in 2024 and led by co founder and chief executive Anurag Gurtu. Emerged from stealth in February 2026 with six point one million dollars in seed funding led by Cannage Capital, with participation from Plug and Play Ventures, Rebellion Ventures, and Inner Loop Capital, plus strategic angel investment from cybersecurity veterans Manoj Apte, Mahendra Ramsinghani, and Saqib Awan. Reports production deployments at a Fortune 150 insurance company, a global bank, a major telecom infrastructure company, and a large fast casual restaurant chain.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
The Agentic OS orchestrates agents across enterprise systems and tools, unifying security operations, governance risk and compliance, identity and access management, vulnerability management, IT, and business operations under one layer. More than 200 cyber and IT integrations, among them AWS, CrowdStrike, Google Cloud, Azure, Entra ID, Okta, Palo Alto Networks, ServiceNow, Splunk, Wiz and Zscaler, let agents act across connected systems, external agents connect over A2A through the Agentic Mesh, and customers can fine tune domain specific language models they own. No API, SDK or MCP server is documented.
In practice
Your security and IT teams run a dozen disconnected tools and people are the glue holding workflows together. Airrived's Agentic OS unifies SOC, GRC, IAM, and IT so agents reason and act across them from one layer.
You want AI agents that decide and act, not just summarize alerts. Airrived's deep reasoning agents can isolate a compromised system, prioritize a vulnerability, or resolve an IT issue within defined rules.
You need to use your own fine tuned models and keep agents governed. Airrived lets you fine tune third party LLMs and compose agents that operate within guardrails across your enterprise.
Sources & related URLs
Research sources
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
|---|---|
|
More than 200 cyber and IT integrations, AWS, CrowdStrike, Google Cloud, Azure, Entra ID, Okta, Palo Alto Networks, ServiceNow, Splunk, Wiz and Zscaler among them, through which agents take autonomous action to resolve security risk across those systems. Sourceairrived.ai/airrived-integrationsread 2026-09-28 |
|
| Workflow Orchestration | Full |
|
Buyers visually connect agents into applications, conversational experiences and multi agent workflows with a drag and drop builder, and the Agentic Mesh connects agents, including external agents over A2A. Sourceairrived.ai/airrived-featuresread 2026-09-28 |
|
| Knowledge Grounding & RAG | Full |
|
Buyers can build RAG agents, and the platform connects to the customer's knowledge bases, data lakes and vector stores, a retrieval structure over the customer's own knowledge. How the index is maintained is not described. Sourceairrived.ai/airrived-platformread 2026-09-28 |
|
| Human Oversight & Guardrails | Full |
|
The security product names human in the loop execution and policy based autonomy as design properties, with RBAC and auditability beside them. The approval step itself is not shown in more detail. Sourceairrived.ai/airrived-securityread 2026-09-28 |
|
| Security, Identity & Governance | Partial |
|
RBAC is named as a platform control. No page names an attestation or certification. Selling security products is not itself a security posture. Sourceairrived.ai/airrived-securityread 2026-09-28 |
|
| Observability & Auditability | Partial |
|
Auditability is named as a design property. No page shows an agent run trace, execution history or audit log. Sourceairrived.ai/airrived-securityread 2026-09-28 |
|
| Memory & State Persistence | Not documented |
|
The claim that agents improve over time names no mechanism, and no memory store is documented, nor what it keeps, its scope or its lifetime. Sourceairrived.ai/airrived-platformread 2026-09-28 |
|
| Deployment & Data Residency | Not documented |
|
No hosting model, region or customer environment option is published. Sourceairrived.ai/airrived-platformread 2026-09-28 |
|
| Prebuilt Agents, Templates & Packs | Full |
|
A curated marketplace of prebuilt agentic applications, each for its own job: SOC and threat intel operationalization, identity and access governance, third party risk assessment, vulnerability and exposure management, AI guardrails and shadow AI, and security automation, with 20+ prebuilt agents on the platform and 30+ security agents. Sourceairrived.ai/airrived-featuresread 2026-09-28 |
|
| Triggers & Channel Coverage | Full |
|
Agents continuously monitor the connected systems and assess, grade and resolve security risk as it appears, rather than waiting for a person to ask. Trigger types are not listed. Sourceairrived.ai/airrived-integrationsread 2026-09-28 |
|
| Model Flexibility & Routing | Partial |
|
Customers fine tune domain specific language models they own, and analysts can take part in fine tuning. No page names the base model providers or a provider list the customer selects from. Sourceairrived.ai/airrived-platformread 2026-09-28 |
|
| APIs, SDKs & MCP Extensibility | Partial |
|
External agents connect through A2A over the Agentic Mesh. No agent card, endpoint or auth scheme is published, and no API, SDK or MCP server for the platform is documented. Sourceairrived.ai/airrived-platformread 2026-09-28 |
|
| Testing, Debugging & Optimization | Partial |
|
RLHF agents and analyst led fine tuning are named as the way agents improve, a feedback route. No evaluation harness, scored test cases or gate before a change goes live is documented. Sourceairrived.ai/airrived-platformread 2026-09-28 |
|
| Browser & Computer Use | Not documented |
|
No page documents agents driving a browser, desktop or remote computer; they act through integrations. Sourceairrived.ai/airrived-integrationsread 2026-09-28 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Airrived launched Agentic Observability in its Agentic OS, tracing agent behavior end to end, from the integration an agent uses to the outcome it produces, including who created it and what permissions it holds.
Bears on: Observability / auditability
View sourcePricing
Not public; enterprise pricing quoted through sales
not published
What is public
No list pricing. Airrived quotes through enterprise sales, with no self serve tier at this early stage.
Billing mechanics
Not disclosed. Inference, not stated by the vendor: an enterprise subscription scoped to the domains covered, the agents run and model usage.
Cost watchouts
Fine tuning and running large language models across many agents can add model and compute cost on top of the platform subscription.
Variable cost rationale
As a platform that fine tunes and runs large language models across many agents and domains, underlying model and compute usage can move total cost, so heavy agent activity may raise spend on top of the base subscription.
Additional watchouts
As a young, broad platform, confirm which domains and agents are production ready for your use case, how governance is enforced, and how model and compute usage is priced.
Sales call required
Yes, required for paid access
Free / trial
Demo on request; no public free tier
Key ambiguities
No public rate is published, and the pricing model is undisclosed at this early stage.
Related vendors
- 7AI — Agentic SOC from the Cybereason founders: domain specialized agents…
- Abnormal AI — Behavioral AI email security with three named autonomous agents: a…
- AirMDR — AI-native MDR whose AI analyst investigates every alert and writes…
- Andesite — Human-AI SOC platform where customers build their own agents and…
- Anvilogic — Agentic security operations platform that works on top of existing…
- Arctic Wolf — Managed detection and response rebuilt around agents: the Aurora…
Alternatives to Airrived
The closest documented capability profiles to Airrived among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Quantro Security7.0 / 14A lighter documented profile than Airrived
- Anvilogic8.5 / 14Adds documented Deployment & Data Residency
- Magnitude8.5 / 14Adds documented Memory & State Persistence
- Token Security6.5 / 14A lighter documented profile than Airrived
- Abnormal AI9.0 / 14Adds documented Memory & State Persistence and Deployment & Data Residency
- Astelia8.0 / 14Fuller documented coverage on Security, Identity & Governance and Observability & Auditability
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded