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Alternatives to Okta for AI Agents

Okta for AI Agents

Okta offering that gives AI agents a first-class identity so organizations can discover, onboard, protect, and govern them

Summary

Okta says Okta for AI Agents gives AI agents a first-class identity so organizations can discover, onboard, protect, and govern them.⁠Source 1 Admins register agents in an Okta org, by hand or by import, and define which resources each can access.⁠Source 2, Source 3, Source 4 Okta’s pricing page lists it as an add-on to a suite plan.⁠Source 5

By Blocks.ai teamLast checked

Where Okta for AI Agents sits

Six layers of running AI agents at a company, and what Okta for AI Agents’s own public sources say it covers. Each alternative below gets the same six layers as a strip.

Public sources · checked 2 October 2026
  • Offered
  • Preview
  • Not publicly documented

Okta for AI Agents

  • Build agents: Not publicly documented
  • Host and run agents: Not publicly documented
  • Identity and access: OfferedAgent identity and credentials⁠Source 6
  • Registry and governance: OfferedUniversal Directory with human owners⁠Source 7
  • Traffic between agents, tools, and models: PreviewAgent Gateway for MCP tools⁠Source 8
  • Agents across organizations: Not publicly documented

How to read the strips

  1. 01Build agents
  2. 02Host and run agents
  3. 03Identity and access
  4. 04Registry and governance
  5. 05Traffic between agents, tools, and models
  6. 06Agents across organizations
  • Offered
  • Preview
  • You build it
  • Not included
  • Not publicly documented

Gateways, identity, and security

3 alternatives

The group Okta for AI Agents sits in, so listed first.

  • Cloudflare MCP server portals

    Cloudflare One feature that puts MCP servers behind one governed endpoint

    Where it sits⁠Source 9

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Identity provider or service token
    4. Registry and governance: Offered, Centrally managed MCP servers
    5. Traffic between agents, tools, and models: Offered, Proxy for MCP tool calls
    6. Agents across organizations: Not publicly documented

    A portal that puts several MCP servers behind one governed endpoint; agents connect as MCP clients, through a person’s identity provider login or an Access service token.⁠Source 9, Source 10, Source 11 Okta registers the agents themselves.⁠Source 2

    Cloudflare MCP server portals vs Okta for AI Agents

  • Kong AI Gateway

    Gateway that governs LLM, MCP, and agent-to-agent traffic

    Where it sits⁠Source 12, Source 13, Source 14

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Per-agent allow or deny lists
    4. Registry and governance: Preview, Konnect Catalog agents
    5. Traffic between agents, tools, and models: Offered, Gateway for LLM, MCP, A2A
    6. Agents across organizations: Not publicly documented

    A gateway: LLM, MCP, and agent-to-agent traffic flows through one data plane, on nodes you run in 2.x.⁠Source 15 Kong’s organization-wide agent inventory, in Konnect Catalog, is in beta.⁠Source 13

    Kong AI Gateway vs Okta for AI Agents

  • Zenity AI Agent Security & Governance Platform

    Security and governance platform for AI agents, aimed at security teams

    Where it sits⁠Source 16, Source 17

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Not publicly documented
    4. Registry and governance: Offered, AI Observability agent inventory
    5. Traffic between agents, tools, and models: Offered, Tool-call blocking for coding agents
    6. Agents across organizations: Not publicly documented

    A security and governance platform that Zenity aims at security teams.⁠Source 18, Source 19 It says its AI Observability scans for agents and catalogs them, and Runtime Boundaries check each agent action in real time against your rules.⁠Source 16, Source 20

    Okta for AI Agents vs Zenity

Agent control planes

5 alternatives

  • Blocks.ai

    Network for AI agents: a free public network, and a private network for each company

    Where it sits⁠Source 21, Source 22, Source 23, Source 24, Source 25

    1. Build agents: Not included, Use LangChain or CrewAI
    2. Host and run agents: Not included, You run your agent
    3. Identity and access: Offered, Machine identity per agent
    4. Registry and governance: Offered, Private registry and Admin Console
    5. Traffic between agents, tools, and models: Offered, Private network for every agent
    6. Agents across organizations: Offered, Partners share only chosen agents

    Blocks.ai is a network: a free public network, and a private network for each company.⁠Source 24, Source 26 Blocks.ai doesn’t build or host agents.⁠Source 21, Source 22 Blocks.ai’s Pro-tier single sign-on is tested with Okta.⁠Source 27

    Blocks.ai vs Okta for AI Agents

  • Microsoft Agent 365

    Microsoft 365 control plane to discover, manage, govern, and secure AI agents

    Where it sits⁠Source 28, Source 29, Source 30, Source 31, Source 32

    1. Build agents: Not included, Use your chosen framework
    2. Host and run agents: Not included, You host your agent
    3. Identity and access: Offered, Entra Agent ID
    4. Registry and governance: Offered, Agent registry in admin center
    5. Traffic between agents, tools, and models: Preview, Tooling Gateway for MCP servers
    6. Agents across organizations: Not publicly documented

    A Microsoft 365 control plane for agents; Agent 365 uses Microsoft Entra Agent ID for agent identities and is licensed per user.⁠Source 30, Source 33, Source 34 Okta names Microsoft Entra Agent Registry as an import source.⁠Source 35

    Microsoft Agent 365 vs Okta for AI Agents

  • MuleSoft Agent Fabric

    Control plane for agents, MCP servers, and APIs across platforms

    Where it sits⁠Source 36

    1. Build agents: Offered, Agent brokers in Agent Script
    2. Host and run agents: Offered, Agent brokers on CloudHub 2.0
    3. Identity and access: Offered, Omni Gateway authentication and authorization
    4. Registry and governance: Offered, Agent Registry in Anypoint Exchange
    5. Traffic between agents, tools, and models: Offered, Omni Gateway in request path
    6. Agents across organizations: Not publicly documented

    A control plane for agents, MCP servers, and APIs across platforms; scanners watching supported platforms fill its registry automatically.⁠Source 36, Source 37 Its Omni Gateway sits in the request path of each managed agent, API, or MCP server.⁠Source 36

    MuleSoft Agent Fabric vs Okta for AI Agents

  • ServiceNow AI Control Tower

    What ServiceNow calls a central hub to discover, secure, govern, observe, and measure AI

    Where it sits⁠Source 38, Source 39, Source 40

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Scoped OAuth tokens (community docs)
    4. Registry and governance: Offered, AI inventory tied to CMDB
    5. Traffic between agents, tools, and models: Offered, AI Gateway (community docs)
    6. Agents across organizations: Not publicly documented

    ServiceNow describes it as a central hub to discover, secure, govern, observe, and measure AI.⁠Source 39 Its kill switch can contain a managed agent and revoke all of its active credentials across connected systems.⁠Source 41, Source 42

    Okta for AI Agents vs ServiceNow AI Control Tower

  • Workday Agent System of Record

    Workday system of record to find, add, register, configure, monitor, and manage AI agents

    Where it sits⁠Source 43, Source 44, Source 45

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Agent System User per agent
    4. Registry and governance: Offered, Agent Registry in Management Hub
    5. Traffic between agents, tools, and models: Offered, Agent Gateway for Workday APIs
    6. Agents across organizations: Not publicly documented

    A functional area in each Workday tenant that registers and manages agents, each with a unique Workday identity; Workday security policies and groups set each agent’s permissions.⁠Source 43, Source 44, Source 46, Source 47

    Okta for AI Agents vs Workday Agent System of Record

Platforms to build and run agents

6 alternatives

  • Amazon Bedrock AgentCore

    AWS platform for building, deploying, and operating AI agents

    Where it sits⁠Source 48, Source 49, Source 50, Source 51, Source 52

    1. Build agents: Offered, Harness managed agent loop
    2. Host and run agents: Offered, AgentCore Runtime
    3. Identity and access: Offered, AgentCore Identity workload identities
    4. Registry and governance: Offered, AWS Agent Registry with approvals
    5. Traffic between agents, tools, and models: Offered, AgentCore Gateway
    6. Agents across organizations: Offered, Registry shared through AWS RAM

    AWS’s platform to build, deploy, and operate agents, billed by use, with a serverless runtime for them.⁠Source 48, Source 53 AWS Agent Registry catalogs agents, MCP servers, tools, and skills behind an approval workflow.⁠Source 50

    Amazon Bedrock AgentCore vs Okta for AI Agents

  • CrewAI AMP

    Platform for deploying, monitoring, and scaling CrewAI crews and agents

    Where it sits⁠Source 54, Source 55, Source 56, Source 57, Source 58, Source 59

    1. Build agents: Offered, Crew Studio visual editor
    2. Host and run agents: Offered, Managed infrastructure for crews
    3. Identity and access: Offered, Per-deployment allow lists
    4. Registry and governance: Offered, Agent Repositories
    5. Traffic between agents, tools, and models: Offered, Custom MCP server connections
    6. Agents across organizations: Preview, Public A2A agents

    A platform to deploy, monitor, and scale CrewAI crews, built in code or in Crew Studio and run on managed infrastructure.⁠Source 55 The Enterprise plan can also deploy in your own VPC.⁠Source 60

    CrewAI AMP vs Okta for AI Agents

  • Gemini Enterprise Agent Platform

    Google Cloud platform to build, deploy, govern, and optimize AI agents

    Where it sits⁠Source 61, Source 62, Source 63, Source 64

    1. Build agents: Offered, Agent Studio low-code canvas
    2. Host and run agents: Offered, Agent Runtime
    3. Identity and access: Offered, SPIFFE-based Agent Identity
    4. Registry and governance: Offered, Agent Registry
    5. Traffic between agents, tools, and models: Offered, Agent Gateway
    6. Agents across organizations: Offered, Gateway calls to outside agents

    Google’s platform to build, deploy, govern, and optimize agents, which can run on Agent Runtime.⁠Source 61, Source 62 By default, its Agent Gateway blocks an agent’s outbound connections unless an IAM policy grants access.⁠Source 62

    Gemini Enterprise Agent Platform vs Okta for AI Agents

  • IBM watsonx Orchestrate

    Agent management platform to build, deploy, orchestrate, and govern AI agents

    Where it sits⁠Source 65, Source 66, Source 67, Source 68, Source 69

    1. Build agents: Offered, Visual builder and ADK
    2. Host and run agents: Offered, Agents run on watsonx Orchestrate
    3. Identity and access: Preview, Agent identity
    4. Registry and governance: Offered, Agentic Control Plane
    5. Traffic between agents, tools, and models: Offered, A2A calls to agent endpoints
    6. Agents across organizations: Offered, Partner A2A agents in catalog

    IBM calls it an agent management platform to build, deploy, and govern agents.⁠Source 70 Agents configured with its Agent Development Kit run on it.⁠Source 66 Agent identity, with IBM Verify or Microsoft Entra, is in private preview.⁠Source 71

    IBM watsonx Orchestrate vs Okta for AI Agents

  • LangSmith

    Platform for observing, evaluating, and deploying agents

    Where it sits⁠Source 72, Source 73, Source 74, Source 75, Source 76

    1. Build agents: Offered, Fleet agent builder
    2. Host and run agents: Offered, LangSmith Deployment runtime
    3. Identity and access: Offered, Fleet per-agent permissions
    4. Registry and governance: Offered, Centralized registry in Deployment
    5. Traffic between agents, tools, and models: Offered, Fleet forwards MCP tool calls
    6. Agents across organizations: Not publicly documented

    LangChain calls it a framework-agnostic platform for observing, evaluating, and deploying agents.⁠Source 77 LangSmith Deployment runs agents on Plus or above, including ones built with other frameworks.⁠Source 73, Source 78 Fleet builds agents without code.⁠Source 72

    LangSmith vs Okta for AI Agents

  • n8n

    Platform for AI agents and workflows you can see and control, built visually or with code

    Where it sits⁠Source 79, Source 80, Source 81, Source 82

    1. Build agents: Offered, LangChain-based AI Agent node
    2. Host and run agents: Offered, Your infrastructure or n8n’s
    3. Identity and access: Not publicly documented
    4. Registry and governance: Preview, Agents stored in projects
    5. Traffic between agents, tools, and models: Offered, MCP client for external tools
    6. Agents across organizations: Not publicly documented

    n8n says you build AI agents and workflows in it, visually or with code, on n8n Cloud or self-hosted.⁠Source 80, Source 83 Paid plans are priced by monthly workflow executions.⁠Source 84

    n8n vs Okta for AI Agents

Build it yourself

1 alternative

Not a product: your own team assembles the pieces.

  • Build it yourself (DIY)

    Building agent connections and controls in-house from open protocols, existing infrastructure, and open-source tools

    Where it sits⁠Source 85, Source 86, Source 87, Source 88, Source 89, Source 90

    1. Build agents: You build it, Open-source frameworks like ADK
    2. Host and run agents: You build it, Self-hosted, like LangGraph
    3. Identity and access: You build it, Your own identity provider
    4. Registry and governance: You build it, Your own agent registry
    5. Traffic between agents, tools, and models: You build it, Your gateway and service mesh
    6. Agents across organizations: You build it, A2A with API management

    Your team wires open protocols such as A2A and MCP together, and A2A leaves authorization logic to the implementer.⁠Source 91, Source 92 Keycloak, an identity provider, documents its use as an MCP authorization server.⁠Source 87

    DIY vs Okta for AI Agents

Questions buyers ask

Does Okta for AI Agents keep a registry of every agent?

It registers agents in Okta Universal Directory: custom-built agents by hand, and agents from third-party builder platforms by import.⁠Source 2, Source 93 Okta says it discovers unregistered and shadow agents; its docs describe discovery through Okta Identity Security Posture Management, which the Core SKU for regulated environments excludes.⁠Source 1, Source 94, Source 95

How is Okta for AI Agents priced?

Okta says it sells it as a separate subscription, and its pricing page lists it as an add-on to a suite plan.⁠Source 1, Source 5 A list price is not publicly documented. Okta says Agent SSO is included in core Okta SSO at no additional cost.⁠Source 1

Can Okta for AI Agents manage agents built elsewhere?

Okta says it lets companies manage agents from any vendor.⁠Source 96 Custom-built agents are registered by hand, and Okta’s docs name Salesforce Agentforce, AWS Bedrock, and Microsoft Entra Agent Registry as builder platforms to import from.⁠Source 2, Source 35

How we compare

Read the full method

Every claim on this page links to a public source. Where none answers a question, the page says so.

We re-check every fact at least every 90 days. This page was last checked .

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Sources

99 public sources, each with the date we checked it. Every one opens in a new tab.

  1. Source 1: Okta brings first-class identity to AI agents with Agent SSO Okta · checked Back:abcd

  2. Source 2: Add and register AI agents (Okta Help Center) Okta · checked Back:abcd

  3. Source 3: AI agent resource connections (Okta Help Center) Okta · checked Back to text

  4. Source 4: Set up AI agent token exchange (Okta Developer) Okta · checked Back to text

  5. Source 5: Plans & pricing (Okta) Okta · checked Back:ab

  6. Source 6: Add AI agents manually (Okta Help Center) Okta · checked Back to text

  7. Source 7: Okta for AI Agents (product page) Okta · checked Back to text

  8. Source 8: Agent Gateway (Okta Help Center) Okta · checked Back to text

  9. Source 9: MCP server portals · Cloudflare One docs Cloudflare · checked Back:ab

  10. Source 10: MCP governance · Cloudflare Agents docs Cloudflare · checked Back to text

  11. Source 11: Service token support for MCP server portals · Changelog Cloudflare · checked Back to text

  12. Source 12: AI Agents - Kong AI Gateway docs Kong · checked Back to text

  13. Source 13: Agents in Catalog - Kong Docs Kong · checked Back:ab

  14. Source 14: Kong AI Gateway product page Kong · checked Back to text

  15. Source 15: AI Gateway architecture - Kong Docs Kong · checked Back to text

  16. Source 16: AI Observability | See Every Agent, Know What it Touches | Zenity Zenity · checked Back:ab

  17. Source 17: Coding and Personal Agents | Zenity Zenity · checked Back to text

  18. Source 18: AWS Marketplace: Zenity Zenity · checked Back to text

  19. Source 19: Platform | AI Agent Security & Governance Platform | Zenity Zenity · checked Back to text

  20. Source 20: Runtime Boundaries | The Runtime Boundary for Autonomous AI | Zenity Zenity · checked Back to text

  21. Source 21: Why Blocks? Blocks.ai · checked Back:ab

  22. Source 22: What is Blocks? Blocks.ai · checked Back:ab

  23. Source 23: Authentication reference Blocks.ai · checked Back to text

  24. Source 24: Your company's private network Blocks.ai · checked Back:abc

  25. Source 25: Joining a Blocks network Blocks.ai · checked Back to text

  26. Source 26: Pricing Blocks.ai · checked Back:ab

  27. Source 27: Single sign-on (SSO) Blocks.ai · checked Back to text

  28. Source 28: Agent 365 SDK frequently asked questions | Microsoft Learn Microsoft · checked Back to text

  29. Source 29: Microsoft Agent 365 SDK overview | Microsoft Learn Microsoft · checked Back to text

  30. Source 30: Agent 365 identity | Microsoft Learn Microsoft · checked Back:ab

  31. Source 31: Agent Registry in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  32. Source 32: Bring your own (BYO) MCP server in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  33. Source 33: Microsoft Agent 365 - Service Descriptions | Microsoft Learn Microsoft · checked Back to text

  34. Source 34: Licensing Documents Microsoft · checked Back to text

  35. Source 35: AI agent imports (Okta Help Center) Okta · checked Back:ab

  36. Source 36: Agent Fabric Overview Salesforce · checked Back:abc

  37. Source 37: Get Started with Agent Fabric Salesforce · checked Back to text

  38. Source 38: What's new in AI Gateway v3.4 - September 2026 release (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  39. Source 39: AI Control Tower - ServiceNow (product page) ServiceNow · checked Back:ab

  40. Source 40: AI Gateway Implementation Guide (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  41. Source 41: AI agent containment using kill switch protocol manually (ServiceNow product documentation, Australia release) ServiceNow · checked Back to text

  42. Source 42: Deactivate a managed AI agent (ServiceNow product documentation, Australia release) ServiceNow · checked Back to text

  43. Source 43: Concept: Agent Security (Workday Administrator Guide) Workday · checked Back:ab

  44. Source 44: About Workday Agents (Workday Administrator Guide) Workday · checked Back:ab

  45. Source 45: Concept: Workday Agent Gateway (Workday Administrator Guide) Workday · checked Back to text

  46. Source 46: Set Up Agent System of Record (Workday Administrator Guide) Workday · checked Back to text

  47. Source 47: Setup Considerations: Agent Security (Workday Administrator Guide) Workday · checked Back to text

  48. Source 48: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:ab

  49. Source 49: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back to text

  50. Source 50: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back:ab

  51. Source 51: HTTP passthrough targets - AgentCore Gateway AWS · checked Back to text

  52. Source 52: Sharing a registry across accounts with AWS RAM AWS · checked Back to text

  53. Source 53: Amazon Bedrock AgentCore Pricing AWS · checked Back to text

  54. Source 54: Crew Studio CrewAI · checked Back to text

  55. Source 55: CrewAI AMP (platform docs introduction) CrewAI · checked Back:ab

  56. Source 56: Role-Based Access Control (RBAC) CrewAI · checked Back to text

  57. Source 57: Agent Repositories CrewAI · checked Back to text

  58. Source 58: Custom MCP Servers CrewAI · checked Back to text

  59. Source 59: A2A on AMP CrewAI · checked Back to text

  60. Source 60: Pricing | CrewAI CrewAI · checked Back to text

  61. Source 61: Agent Platform overview Google · checked Back:ab

  62. Source 62: Agent Gateway overview Google · checked Back:abc

  63. Source 63: Agent Identity overview Google · checked Back to text

  64. Source 64: Agent Registry overview Google · checked Back to text

  65. Source 65: AI Agent Builder | IBM watsonx Orchestrate IBM · checked Back to text

  66. Source 66: Welcome to IBM watsonx Orchestrate Agent Development Kit IBM · checked Back:ab

  67. Source 67: Agent identity overview IBM · checked Back to text

  68. Source 68: AI Agent Control Plane | IBM watsonx Orchestrate IBM · checked Back to text

  69. Source 69: Partner A2A (Agent2Agent) agents IBM · checked Back to text

  70. Source 70: IBM watsonx Orchestrate IBM · checked Back to text

  71. Source 71: Prerequisites for configuring agent identity IBM · checked Back to text

  72. Source 72: No-code agents with LangSmith Fleet LangChain · checked Back:ab

  73. Source 73: LangSmith Deployment LangChain · checked Back:ab

  74. Source 74: Agent platform comparison LangChain · checked Back to text

  75. Source 75: LangSmith Deployment LangChain · checked Back to text

  76. Source 76: Remote MCP servers LangChain · checked Back to text

  77. Source 77: LangSmith: The Agent Engineering Platform LangChain · checked Back to text

  78. Source 78: Deploy other frameworks LangChain · checked Back to text

  79. Source 79: LangChain in n8n n8n · checked Back to text

  80. Source 80: AI Workflow Automation Platform - n8n n8n · checked Back:ab

  81. Source 81: Build and manage agents n8n · checked Back to text

  82. Source 82: MCP Client Tool n8n · checked Back to text

  83. Source 83: Choose how to use n8n n8n · checked Back to text

  84. Source 84: n8n Plans and Pricing n8n · checked Back to text

  85. Source 85: google/adk-python README (GitHub) github.com · checked Back to text

  86. Source 86: langchain-ai/langgraph README (GitHub) github.com · checked Back to text

  87. Source 87: Integrating with Model Context Protocol (MCP) - Keycloak keycloak.org · checked Back:ab

  88. Source 88: Agent Discovery - A2A Protocol a2a-protocol.org · checked Back to text

  89. Source 89: Designing MCP Gateway Uber's MCP Management Platform - Uber Blog uber.com · checked Back to text

  90. Source 90: Enterprise Features - A2A Protocol a2a-protocol.org · checked Back to text

  91. Source 91: Agent2Agent (A2A) Protocol Specification a2a-protocol.org · checked Back to text

  92. Source 92: modelcontextprotocol/modelcontextprotocol LICENSE (GitHub) github.com · checked Back to text

  93. Source 93: Okta for AI Agents is now generally available Okta · checked Back to text

  94. Source 94: Discover and assess AI agents (Okta Help Center) Okta · checked Back to text

  95. Source 95: Okta is the first independent and neutral identity platform to bring AI agent governance to highly regulated environments Okta · checked Back to text

  96. Source 96: Okta announces new innovations to secure AI agents at runtime and automate ongoing agent governance Okta · checked Back to text

  97. Source 97: Network requirements Blocks.ai · checked Back to text

  98. Source 98: Solutions: Agent sprawl Blocks.ai · checked Back to text

  99. Source 99: Solutions: Partner networks Blocks.ai · checked Back to text