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Alternatives to Zenity AI Agent Security & Governance Platform

Zenity AI Agent Security & Governance Platform

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

Summary

Zenity AI Agent Security & Governance Platform is a SaaS security and governance platform for AI agents that Zenity aims at security teams.⁠Source 1, Source 2 It says it scans for agents, including ones inside SaaS platforms or on laptops, and can check their actions against the organization’s rules.⁠Source 3, Source 4 It says it can block actions on Copilot Studio, Microsoft Foundry, and coding agents.⁠Source 5

By Blocks.ai teamLast checked

Where Zenity sits

Six layers of running AI agents at a company, and what Zenity’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
  • Not publicly documented

Zenity

  • Build agents: Not publicly documented
  • Host and run agents: Not publicly documented
  • Identity and access: Not publicly documented
  • Registry and governance: OfferedAI Observability agent inventory⁠Source 3
  • Traffic between agents, tools, and models: OfferedTool-call blocking for coding agents⁠Source 6
  • 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 Zenity sits in, so listed first.

  • Cloudflare MCP server portals

    Cloudflare One feature that puts MCP servers behind one governed endpoint

    Where it sits⁠Source 7

    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 endpoint, with Access policies defining which users can connect.⁠Source 7 It lists MCP servers, which admins add to Cloudflare Access; Zenity says it scans for agents.⁠Source 3, Source 7

    Cloudflare MCP server portals vs Zenity

  • Kong AI Gateway

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

    Where it sits⁠Source 8, Source 9, Source 10

    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 for LLM, MCP, and agent-to-agent traffic that can limit who calls each agent.⁠Source 8, Source 11 Zenity says it works through integrations, such as OpenTelemetry for custom agents and hooks for coding agents.⁠Source 6, Source 12

    Kong AI Gateway vs Zenity

  • Okta for AI Agents

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

    Where it sits⁠Source 13, Source 14, Source 15

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Agent identity and credentials
    4. Registry and governance: Offered, Universal Directory with human owners
    5. Traffic between agents, tools, and models: Preview, Agent Gateway for MCP tools
    6. Agents across organizations: Not publicly documented

    Okta says it gives AI agents a first-class identity.⁠Source 16 Admins register agents and define which resources each can access.⁠Source 17, Source 18 Zenity says it finds agents by scanning.⁠Source 3

    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 19, Source 20, Source 21, Source 22, Source 23

    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 22, Source 24 Blocks.ai doesn’t build or host agents.⁠Source 19, Source 20 Agents can find and call each other by permission.⁠Source 25, Source 26

    Blocks.ai vs Zenity

  • Microsoft Agent 365

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

    Where it sits⁠Source 27, Source 28, Source 29, Source 30, Source 31

    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, with an agent registry in the admin center and Entra agent identities.⁠Source 29, Source 30, Source 32 Zenity says its integration shows its runtime risk signals in Agent 365.⁠Source 33

    Microsoft Agent 365 vs Zenity

  • MuleSoft Agent Fabric

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

    Where it sits⁠Source 34

    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, with Omni Gateway in each managed agent’s request path.⁠Source 34, Source 35 Its agent brokers orchestrate A2A-compliant agents; Zenity says it scans for agents, including on laptops.⁠Source 3, Source 34, Source 36

    MuleSoft Agent Fabric vs Zenity

  • ServiceNow AI Control Tower

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

    Where it sits⁠Source 37, Source 38, Source 39

    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 38 Zenity says its coverage on ServiceNow is detection and posture only.⁠Source 5

    ServiceNow AI Control Tower vs Zenity

  • Workday Agent System of Record

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

    Where it sits⁠Source 40, Source 41, Source 42

    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 to register and manage agents, each with a unique Workday identity.⁠Source 40, Source 41, Source 43 External agents are registered through the ASOR API; Zenity says it finds agents by scanning.⁠Source 3, Source 44

    Workday Agent System of Record vs Zenity

Platforms to build and run agents

6 alternatives

  • Amazon Bedrock AgentCore

    AWS platform for building, deploying, and operating AI agents

    Where it sits⁠Source 45, Source 46, Source 47, Source 48, Source 49

    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, with AgentCore Runtime, a serverless environment for deploying them.⁠Source 45 Zenity says it takes in AgentCore configuration and runtime telemetry without changes to frameworks or models.⁠Source 50

    Amazon Bedrock AgentCore vs Zenity

  • CrewAI AMP

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

    Where it sits⁠Source 51, Source 52, Source 53, Source 54, Source 55, Source 56

    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

    CrewAI’s platform for deploying, monitoring, and scaling crews and agents; teams build crews in code or in Crew Studio.⁠Source 52 Zenity’s coverage of crews deployed on CrewAI AMP isn’t publicly documented.

    CrewAI AMP vs Zenity

  • Gemini Enterprise Agent Platform

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

    Where it sits⁠Source 57, Source 58, Source 59, Source 60

    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 Cloud’s platform to build, deploy, govern, and optimize agents; its Agent Gateway governs traffic for agents on Agent Runtime.⁠Source 57, Source 58

    Gemini Enterprise Agent Platform vs Zenity

  • IBM watsonx Orchestrate

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

    Where it sits⁠Source 61, Source 62, Source 63, Source 64, Source 65

    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, orchestrate, and govern agents.⁠Source 66 Zenity says it can block actions on Copilot Studio, Microsoft Foundry, and coding agents.⁠Source 5

    IBM watsonx Orchestrate vs Zenity

  • LangSmith

    Platform for observing, evaluating, and deploying agents

    Where it sits⁠Source 67, Source 68, Source 69, Source 70, Source 71

    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 describes it as a platform for observing, evaluating, and deploying agents, with a runtime for production agents and Fleet for no-code agents.⁠Source 67, Source 68, Source 72 Zenity says it inventories agents in Copilot Studio and Agentforce.⁠Source 3

    LangSmith vs Zenity

  • n8n

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

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

    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 74, Source 77 Zenity is delivered as software as a service.⁠Source 1

    n8n vs Zenity

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 78, Source 79, Source 80, Source 81, Source 82, Source 83

    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 connects and governs agents itself, on protocols such as MCP and A2A, which leave authorization logic to the implementer.⁠Source 84, Source 85 Zenity says any agent emitting OpenTelemetry or gen_ai spans can connect to it.⁠Source 12

    DIY vs Zenity

Questions buyers ask

Does Zenity keep a registry of every agent?

Zenity says it keeps an inventory: AI Observability scans an organization’s environment and catalogs agents, including ones in SaaS platforms, custom builds, and on laptops, each with its configuration, permissions, and tool access.⁠Source 3 It says the inventory also flags agents operating outside sanctioned deployment channels.⁠Source 3

How is Zenity priced?

Its main AWS Marketplace listing points to custom pricing or a private contract.⁠Source 1 A separate Security Hub Extended listing shows $130 per resource a month for Observability and $16 per million tokens a month for Runtime Protection, with a 30-day free trial.⁠Source 86

Can Zenity govern agents built elsewhere?

Zenity says it can block actions inline on Copilot Studio, Microsoft Foundry, and coding agents (through hooks); elsewhere, such as Agentforce and M365 Copilot, it offers detection and posture only.⁠Source 5 It says any agent emitting OpenTelemetry or gen_ai spans can connect without a dedicated integration.⁠Source 12

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 .

Something wrong or out of date? Tell us and we’ll correct it.

Sources

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

  1. Source 1: AWS Marketplace: Zenity Zenity · checked Back:abc

  2. Source 2: Platform | AI Agent Security & Governance Platform | Zenity Zenity · checked Back to text

  3. Source 3: AI Observability | See Every Agent, Know What it Touches | Zenity Zenity · checked Back:abcdefghi

  4. Source 4: Runtime Boundaries | The Runtime Boundary for Autonomous AI | Zenity Zenity · checked Back to text

  5. Source 5: Zenity's Coverage of the 2026 OWASP Top 10 for LLM Apps Zenity · checked Back:abcd

  6. Source 6: Coding and Personal Agents | Zenity Zenity · checked Back:ab

  7. Source 7: MCP server portals · Cloudflare One docs Cloudflare · checked Back:abc

  8. Source 8: AI Agents - Kong AI Gateway docs Kong · checked Back:ab

  9. Source 9: Agents in Catalog - Kong Docs Kong · checked Back to text

  10. Source 10: Kong AI Gateway product page Kong · checked Back to text

  11. Source 11: AI Gateway architecture - Kong Docs Kong · checked Back to text

  12. Source 12: From Triage to Full Coverage: The Shift AI Agent Security Took in August Zenity · checked Back:abc

  13. Source 13: Add AI agents manually (Okta Help Center) Okta · checked Back to text

  14. Source 14: Okta for AI Agents (product page) Okta · checked Back to text

  15. Source 15: Agent Gateway (Okta Help Center) Okta · checked Back to text

  16. Source 16: Okta brings first-class identity to AI agents with Agent SSO Okta · checked Back to text

  17. Source 17: Add and register AI agents (Okta Help Center) Okta · checked Back to text

  18. Source 18: AI agent resource connections (Okta Help Center) Okta · checked Back to text

  19. Source 19: Why Blocks? Blocks.ai · checked Back:ab

  20. Source 20: What is Blocks? Blocks.ai · checked Back:ab

  21. Source 21: Authentication reference Blocks.ai · checked Back to text

  22. Source 22: Your company's private network Blocks.ai · checked Back:abc

  23. Source 23: Joining a Blocks network Blocks.ai · checked Back to text

  24. Source 24: Pricing Blocks.ai · checked Back:ab

  25. Source 25: Set Up Agent-to-Agent (A2A) Communication Blocks.ai · checked Back to text

  26. Source 26: Key concepts Blocks.ai · checked Back to text

  27. Source 27: Agent 365 SDK frequently asked questions | Microsoft Learn Microsoft · checked Back to text

  28. Source 28: Microsoft Agent 365 SDK overview | Microsoft Learn Microsoft · checked Back to text

  29. Source 29: Agent 365 identity | Microsoft Learn Microsoft · checked Back:ab

  30. Source 30: Agent Registry in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back:ab

  31. Source 31: Bring your own (BYO) MCP server in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  32. Source 32: Microsoft Agent 365 - Service Descriptions | Microsoft Learn Microsoft · checked Back to text

  33. Source 33: Zenity Now Integrates with Microsoft Agent 365 Zenity · checked Back to text

  34. Source 34: Agent Fabric Overview Salesforce · checked Back:abc

  35. Source 35: Get Started with Agent Fabric Salesforce · checked Back to text

  36. Source 36: Agent Fabric Release Notes Salesforce · checked Back to text

  37. Source 37: What's new in AI Gateway v3.4 - September 2026 release (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  38. Source 38: AI Control Tower - ServiceNow (product page) ServiceNow · checked Back:ab

  39. Source 39: AI Gateway Implementation Guide (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  40. Source 40: Concept: Agent Security (Workday Administrator Guide) Workday · checked Back:ab

  41. Source 41: About Workday Agents (Workday Administrator Guide) Workday · checked Back:ab

  42. Source 42: Concept: Workday Agent Gateway (Workday Administrator Guide) Workday · checked Back to text

  43. Source 43: Set Up Agent System of Record (Workday Administrator Guide) Workday · checked Back to text

  44. Source 44: Register External Agents (Workday Administrator Guide) Workday · checked Back to text

  45. Source 45: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:ab

  46. Source 46: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back to text

  47. Source 47: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back to text

  48. Source 48: HTTP passthrough targets - AgentCore Gateway AWS · checked Back to text

  49. Source 49: Sharing a registry across accounts with AWS RAM AWS · checked Back to text

  50. Source 50: Amazon Bedrock AgentCore Security | Full-Lifecycle Control Zenity · checked Back to text

  51. Source 51: Crew Studio CrewAI · checked Back to text

  52. Source 52: CrewAI AMP (platform docs introduction) CrewAI · checked Back:ab

  53. Source 53: Role-Based Access Control (RBAC) CrewAI · checked Back to text

  54. Source 54: Agent Repositories CrewAI · checked Back to text

  55. Source 55: Custom MCP Servers CrewAI · checked Back to text

  56. Source 56: A2A on AMP CrewAI · checked Back to text

  57. Source 57: Agent Platform overview Google · checked Back:ab

  58. Source 58: Agent Gateway overview Google · checked Back:ab

  59. Source 59: Agent Identity overview Google · checked Back to text

  60. Source 60: Agent Registry overview Google · checked Back to text

  61. Source 61: AI Agent Builder | IBM watsonx Orchestrate IBM · checked Back to text

  62. Source 62: Welcome to IBM watsonx Orchestrate Agent Development Kit IBM · checked Back to text

  63. Source 63: Agent identity overview IBM · checked Back to text

  64. Source 64: AI Agent Control Plane | IBM watsonx Orchestrate IBM · checked Back to text

  65. Source 65: Partner A2A (Agent2Agent) agents IBM · checked Back to text

  66. Source 66: IBM watsonx Orchestrate IBM · checked Back to text

  67. Source 67: No-code agents with LangSmith Fleet LangChain · checked Back:ab

  68. Source 68: LangSmith Deployment LangChain · checked Back:ab

  69. Source 69: Agent platform comparison LangChain · checked Back to text

  70. Source 70: LangSmith Deployment LangChain · checked Back to text

  71. Source 71: Remote MCP servers LangChain · checked Back to text

  72. Source 72: LangSmith: The Agent Engineering Platform LangChain · checked Back to text

  73. Source 73: LangChain in n8n n8n · checked Back to text

  74. Source 74: AI Workflow Automation Platform - n8n n8n · checked Back:ab

  75. Source 75: Build and manage agents n8n · checked Back to text

  76. Source 76: MCP Client Tool n8n · checked Back to text

  77. Source 77: Choose how to use n8n n8n · checked Back to text

  78. Source 78: google/adk-python README (GitHub) github.com · checked Back to text

  79. Source 79: langchain-ai/langgraph README (GitHub) github.com · checked Back to text

  80. Source 80: Integrating with Model Context Protocol (MCP) - Keycloak keycloak.org · checked Back to text

  81. Source 81: Agent Discovery - A2A Protocol a2a-protocol.org · checked Back to text

  82. Source 82: Designing MCP Gateway Uber's MCP Management Platform - Uber Blog uber.com · checked Back to text

  83. Source 83: Enterprise Features - A2A Protocol a2a-protocol.org · checked Back to text

  84. Source 84: Specification - Model Context Protocol 2026-07-28 modelcontextprotocol.io · checked Back to text

  85. Source 85: Agent2Agent (A2A) Protocol Specification a2a-protocol.org · checked Back to text

  86. Source 86: AWS Marketplace: Zenity AI Security & Governance Platform for Security Hub Extended Zenity · checked Back to text

  87. Source 87: Network requirements Blocks.ai · checked Back to text

  88. Source 88: Solutions: Agent sprawl Blocks.ai · checked Back to text

  89. Source 89: Solutions: Partner networks Blocks.ai · checked Back to text