Agentic Index
Airrived vs Kai (2026)
Airrived last verified ·Kai last verified
Airrived and Kai both aim to run security operations through one agent layer, and they differ on who builds the agents. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Airrived is an agentic operating system spanning SOC, GRC, IAM, vulnerability management, IT and business operations, with a builder for multi agent workflows, prebuilt security applications and models the customer can fine tune. Kai unifies threat intelligence, exposure management, detection and response into one autonomous pipeline across IT and OT. Neither has a public price. Airrived connects agents to the customer's knowledge bases, data lakes and vector stores and offers a marketplace of prebuilt security applications. Kai runs on Claude alone, holds SOC 2 Type 2 and ISO 27001, and offers single sign on, where Airrived names role based access but no attestation. Choose Airrived to build agents across security and IT. Choose Kai for one pipeline across IT and OT with audited controls.
On the Agentic Index AI SOC ranking, Airrived clears the bar and Kai does not. Airrived documents all five investigation loop capabilities in full; Kai does not document observability and auditability in full. 25 of the 86 vendors in the lane clear it. See the AI SOC ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Airrived and Kai are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Airrived if
- Agents should span SOC, GRC, IAM, IT and business operations.
- You want prebuilt security applications plus a builder.
- Fine tuning your own models matters.
Choose Kai if
- OT environments are in scope alongside IT.
- Your vendor review needs SOC 2 Type 2, ISO 27001 and single sign on.
- One pipeline from threat intelligence to response is the design you want.
| Feature | A Airrived |
K Kai |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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AirrivedIntegrations & Tool Calling Agents work through more than 200 cyber and IT integrations, with AWS, CrowdStrike, Google Cloud, Azure, Entra ID, Okta, Palo Alto Networks, ServiceNow, Splunk, Wiz and Zscaler among them, and take autonomous action through them to resolve security risk across those systems. The security product lists deep integrations with more than 15 major platforms. SourceAirrived, airrived.ai/airrived-integrations and /airrived-securityread 2026-10-05 |
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KaiIntegrations & Tool Calling Agents act in the customer's systems. They open pull requests for code vulnerabilities, deploy EDR and SIEM rules and auto remediate exposures, and they route the rest to assisted remediation. Sourcekai.securityread 2026-09-28 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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AirrivedWorkflow Orchestration Customers 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. Deep reasoning agents use the mesh for complex, multi agent tasks, and the mesh runs on Airrived's own A2A and ADA technology. Teams can deploy agent systems without AI engineers. SourceAirrived, airrived.ai/airrived-features and /airrived-platformread 2026-10-05 |
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KaiWorkflow Orchestration Six workstreams (exposure validation, context gathering, auto remediation, threat intelligence, threat hunting and detection engineering) hand work from agent to agent with no human hand off. A deterministic harness validates data before it reaches the reasoning layer. Remediation then branches by finding class into automatic, staged for review or untouched. Sourcekai.security/resources/autonomous-remediation-trust-barrierread 2026-09-28 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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AirrivedTriggers & Channel Coverage Agents continuously monitor the connected systems and assess, grade and resolve security risk as it appears, instead of waiting for a person to ask. Trigger types are not listed. Sourceairrived.ai/airrived-integrationsread 2026-09-28 |
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KaiTriggers & Channel Coverage Confirmed exposures and new findings start remediation on their own, machine to machine from end to end, within the finding classes the customer has set to run autonomously. Sourcekai.securityread 2026-09-28 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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AirrivedKnowledge Grounding & RAG Customers can build RAG agents, and the platform connects to the customer's knowledge bases, data lakes and vector stores, so agents retrieve from the customer's own knowledge. Airrived does not say how the index is kept up to date. Customers keep their data, agents and models as their own. SourceAirrived, airrived.ai/airrived-platformread 2026-10-05 |
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KaiKnowledge Grounding & RAG A deterministic harness ingests, cleanses, deduplicates, validates and chunks the customer's security data before it reaches the reasoning layer. A context gathering workstream checks reachability and what each asset does. Kai names no maintained, persistent index or graph over the customer's knowledge. Sourcekai.security/resources/validation-before-automationread 2026-09-28 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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AirrivedMemory & State Persistence Airrived says its agents improve over time but names no mechanism, and it describes no memory store, what one would keep, for whom or for how long. SourceAirrived, airrived.ai/airrived-platformread 2026-10-05 |
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KaiMemory & State Persistence Correlated asset and vulnerability context makes up the product's data model. Kai names no memory store that the agents read across runs. Sourcekai.securityread 2026-09-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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AirrivedHuman Oversight & Guardrails 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. Agents carry out reasoning driven workflows under human in the loop control. SourceAirrived, airrived.ai/airrived-securityread 2026-10-05 |
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KaiHuman Oversight & Guardrails The customer decides which class of finding is closed with no human in the loop, which is staged for review and which is never touched automatically. Findings outside the autonomous boundary get a remediation plan routed to the owner, who decides and executes. Sourcekai.security/resources/autonomous-remediation-trust-barrierread 2026-09-28 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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AirrivedSecurity, Identity & Governance RBAC is named as a platform control, and no page names an attestation or certification. Airrived says customers keep full sovereignty over their data, agents and models. SourceAirrived, airrived.ai/airrived-security and /airrived-platformread 2026-10-05 |
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KaiSecurity, Identity & Governance The platform holds SOC 2 Type 2 and ISO 27001:2022, with confirmations of examination from A-LIGN. Access control and single sign on are platform features, and Kai gives no further detail on the access controls. Sourcetrust.kai.securityread 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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AirrivedObservability & Auditability Agentic Observability traces each run from the integration that fed it, through the Context Lake and the agent's reasoning and execution, to the action taken and the outcome it produced. For every agent it records the creator, owner, users, roles, permissions and permitted actions, whether a human must approve before it acts, the AI tools behind it, sensitive data such as PII moving through it, and its token and model cost. It was revealed at GISEC Dubai in September and is described as part of the platform by October. No public page shows a sample trace or an audit log export. Airrived, Agentic Observability release (2026-09-14) and IDC MarketScape release, 2026-10-13 Sourcebusinesswire.com/news/home/20260914862881/en/airrived-launches-agentic-observability-giving-enterprises-real-time-visibility-and-control-over-every-ai-agent-decisionread 2026-10-13 |
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KaiObservability & Auditability Aggregate outcomes are reported, such as findings triaged and auto remediated and rules deployed, and Kai stresses giving a clean account of what changed and why. It names no per run trace or audit log of the agents' actions. Sourcekai.securityread 2026-09-28 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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AirrivedDeployment & Data Residency Airrived deploys in the cloud, in customer VPCs, on premises, on private GPU infrastructure or fully air gapped, with data, models, agents, context and AI operations kept under the customer's control in each case. The Sovereign AI Platform, launched in September, runs the whole stack inside the customer's walls, and it already runs in production inside Wizdom's own data centers. Named cloud regions are not published. Airrived, Sovereign AI Platform release (2026-09-01) and IDC MarketScape release, 2026-10-13 Sourcebusinesswire.com/news/home/20260901351949/en/airrived-launches-sovereign-ai-platform-putting-enterprises-back-in-control-of-their-airead 2026-10-13 |
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KaiDeployment & Data Residency Coverage spans IT, cloud and OT environments. The infrastructure Kai itself runs on comes from what it calls best in class providers, none of them named. No hosting region is published, and Kai names no customer environment option. Sourcetrust.kai.securityread 2026-09-28 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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AirrivedPrebuilt Agents, Templates & Packs A curated marketplace offers prebuilt agentic applications, each for its own job, covering 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. Airrived reports up to 60 times more productivity across SOC, IAM and GRC teams and 80 to 90% less operational effort. SourceAirrived, airrived.ai/airrived-features, /airrived-security and /airrived-platformread 2026-10-05 |
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KaiPrebuilt Agents, Templates & Packs Six workstreams of one pipeline (exposure validation, context gathering, auto remediation, threat intelligence, threat hunting, detection engineering) come built in. They are stages the platform chains together, not named agents or templates a customer adopts separately. Sourcekai.securityread 2026-09-28 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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AirrivedModel Flexibility & Routing Customers fine tune domain specific language models they own, with LoRA and RLHF supported natively, and the Sovereign AI Platform runs customer selected models or Airrived's own models locally. No page names the base model providers or describes routing between models. SourceAirrived, airrived.ai/airrived-soc-operations-threat-intel-operationalization and Sovereign AI Platform release; airrived.ai/airrived-platformread 2026-10-29 |
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KaiModel Flexibility & Routing Anthropic's Claude is the analysis layer, a single provider chosen by Kai. Customers get no choice of model. Sourcekai.security/resources/how-kai-brings-customer-risk-to-zero-with-claude-as-the-analysis-layerread 2026-09-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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AirrivedAPIs, SDKs & MCP Extensibility External agents connect through A2A over the Agentic Mesh. No agent card, endpoint or auth scheme is published, and there is no API, SDK or MCP server for the platform. The mesh runs on Airrived's own A2A and ADA technology. SourceAirrived, airrived.ai/airrived-platformread 2026-10-05 |
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KaiAPIs, SDKs & MCP Extensibility No developer or docs pages are published for the platform, and Kai names no API, SDK or MCP server for it. Sourcekai.security/sitemap.xmlread 2026-09-28 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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AirrivedTesting, Debugging & Optimization RLHF agents and fine tuning led by analysts are how agents improve, through feedback. Airrived publishes no test cases, scores or check a change must pass before it goes live. SourceAirrived, airrived.ai/airrived-platformread 2026-10-05 |
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KaiTesting, Debugging & Optimization Each remediation must be verified after the fact, by Kai's account, to confirm the exposure is closed and not only applied. Kai does not say whether that check is a product gate, a harness or a set of scored cases. Its exploitability validation tests the customer's estate. Sourcekai.security/resources/autonomous-remediation-trust-barrierread 2026-09-28 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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AirrivedBrowser & Computer Use Agents act through integrations and do not drive a browser, desktop or remote computer. Sourceairrived.ai/airrived-integrationsread 2026-09-28 |
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KaiBrowser & Computer Use The agents act through pull requests, rule deployment and remediation integrations. Kai names no agent driving a browser, desktop or remote computer. Sourcekai.securityread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Airrived |
K Kai |
|---|---|---|
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Entry price Lowest public entry point |
Not public; enterprise pricing quoted through sales | Not public; enterprise pricing quoted through sales |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
not published | not published |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Airrived
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· Observability / auditability
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.
Source
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