Agent & MCP security

Zenity: AI agent security and governance platform

Zenity is an AI agent security and governance platform from Zenity. It is a commercial product offered as: SaaS. Pricing model: not published.

  • Last reviewed

Best for

Security teams that need to govern agents built inside SaaS copilot platforms such as Copilot Studio and Agentforce

Consider instead if

  • You want a guardrail API for a single LLM application rather than a platform for agents. See Lakera Guard.
  • You want an open-source scanner to probe a model before release. See garak.

What Zenity does

Zenity is a commercial platform for securing and governing AI agents. Its platform page describes a live inventory of agents across SaaS, custom and endpoint deployments, posture checks that compare agent configuration and permissions against policy, Runtime Boundaries that evaluate each agent action and can allow, block or shut the agent down, and AI detection and response for runtime threats. Its pages name Microsoft Copilot Studio, Salesforce Agentforce, ChatGPT Enterprise, AWS Bedrock and Google Vertex AI. The docs site lists integrations and a user guide, but Zenity does not publish prices or a deployment guide in what we opened, so confirm packaging with the vendor.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Latest release
Not documented in the sources we checked
Pricing model
Not published in the sources we checked Source, checked October 21, 2026: zenity.io (opens in a new tab)
API reference
Not documented in the sources we checked
Quickstart
Not documented in the sources we checked
Security page
Not documented in the sources we checked
Attestations or disclosure
Not documented in the sources we checked

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where Zenity fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that Zenity covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L7 Agent access Agent and tool access Primary Limit which tools, MCP servers, data and credentials an agent can use, and require approval for risky actions. Follows its category, Agent & MCP security
L2 Discovery Discovery and posture Also covers Documents a live inventory of agents. Builds a live inventory of agents across SaaS, custom and endpoint deployments
L8 Monitoring Monitoring and response Also covers Documents AI detection and response that detects runtime threats and blocks unsafe actions. Detects runtime threats and blocks unsafe actions in real time

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

OWASP LLM risks mapped to Zenity, with the capabilities each mapping rests on
RiskHow it appliesBased on
LLM06 Excessive Agency Runtime Boundaries can block agent actions, and posture checks review agent permissions. Evaluates each agent's configuration and permissions against policy before deployment; Evaluates every agent action in real time and can allow, block or shut down the agent

Alternatives and related tools

More in Agent & MCP security, ranked within the category by Coverage Score.

Open sourceApache-2.0
  • CLI
  • Self-hosted

Scans skills and MCP servers, inspects agent tool calls and keeps an audit trail around AI coding agents.

Best for: Security teams that want scanning, guardrails and an audit trail around the coding agents developers already run, starting in observe mode before anything is blocked

Coverage Score 76 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

Open sourceMIT
  • CLI
  • Self-hosted

Proxies AI clients to MCP servers it runs as isolated Docker containers, with tool filters and call logs.

Best for: Developers and platform teams that already use Docker and want MCP servers to run in containers behind one gateway with per-server tool selection

Coverage Score 72 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

agentgateway

agentgateway (a Series of LF Projects, LLC)

Open sourceApache-2.0
  • CLI
  • Self-hosted
  • Cloud-native

Open-source proxy that applies auth, CEL policy and guardrails to LLM, MCP and agent-to-agent traffic.

Best for: Platform teams that want one open-source gateway in front of MCP servers and LLM providers, with token validation, CEL rules per MCP method and pluggable guardrails

Coverage Score 69 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency

Reviewed

Zenity FAQ

Is Zenity open source?

No. It is a commercial platform, and we found no public source repository for the product.

Which agent platforms does Zenity name?

Its pages name Microsoft Copilot Studio, Salesforce Agentforce, ChatGPT Enterprise, AWS Bedrock and Google Vertex AI.

Does Zenity publish prices?

No. The homepage does not mention pricing and offers a demo request.

Key facts you can cite

We have no commercial relationship with Zenity.

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.