HEAD-TO-HEAD · FACTS ONLY
Zenity vs Zscaler: AI endpoint control facts side by side
Short answer
By The Device Desk · Endpoint AI Finder · Published 2026-10-11
Desk research from public vendor pages read on 27 September and 11 October 2026. Profiles follow our published method; we did not run the products.
Vendor pages read September and October 2026 · updated 2026-10-13
Where do their controls sit?
- Filled or hatched marker: Zenity
- Dashed teal ring: Zscaler, described
- DEV Filled marker: described on the product pages we read
- DEV Hatched marker: partly described (another component, a narrower scope, or method not detailed)
- DEV Dashed marker: not in our sources (it may exist; we did not find it)
What are the facts, side by side?
| Fact | Zenity | Zscaler |
|---|---|---|
| Owner | None | None |
| Positioning | An AI agent security platform covering AI observability, posture management, exposure management, runtime boundaries, agentic identity, MCP security and AI detection and response, with a long list of SaaS and cloud agent integrations. | Zscaler's controls for employee use of generative AI: prompt-level visibility, allow or block by app, DLP blocking across GenAI apps, browser isolation that disables cut, paste and download, and data security for Microsoft Copilot. |
| How it reaches devices | Native agent hooks and the Zenity MCP gateway for coding agents; how it reaches endpoints is not detailed. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | Delivered with Zscaler's cloud security service in the network path; endpoint agents are not described on the page we read. Source: Zscaler: Secure the use of generative AI · Read 11 Oct 2026 |
| On-device controlDiffers | Partly describedBlocks or modifies a dangerous tool call before it executes through native agent hooks; how it reaches endpoints is not detailed. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | Not in our sourcesNot described on the pages we read. |
| Browser extension | Not in our sourcesNot described on the pages we read. | Not in our sourcesNot described on the pages we read. |
| Network or SSE proxyDiffers | Not in our sourcesNot described on the pages we read. | DescribedSee all input prompts users send to apps, allow or block apps, block sensitive data with DLP across GenAI, and isolate the browser to disable cut, paste and download. Source: Zscaler: Secure the use of generative AI · Read 11 Oct 2026 |
| AI or MCP gatewayDiffers | DescribedThe Zenity MCP gateway can block or modify a tool call before it executes. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | Not in our sourcesNot described on the pages we read. |
| Names the coding agents it coversDiffers | MatchesNames Claude Code and Cowork, ChatGPT Codex, GitHub Copilot and Cursor. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | Not in our sources |
| Decides on a tool call before it runsDiffers | MatchesBlocks or modifies a dangerous tool call before it executes. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | Not in our sources |
| Controls what goes into browser AIDiffers | Not in our sources | MatchesPrompt-level visibility, DLP blocking across GenAI apps, and browser isolation that disables cut, paste and download. Source: Zscaler: Secure the use of generative AI · Read 11 Oct 2026 |
| Rolls out through EDR or device management you run | Not in our sources | Not in our sources |
| Can warn or ask instead of only blockingDiffers | PartlyCan modify a tool call as well as block it; asking the user is not described. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | Not in our sources |
| Can block an agent, tool or action | MatchesBlocks a dangerous tool call before it executes. Source: Zenity: coding and personal agents · Read 27 Sep 2026 | MatchesAllow or block GenAI apps, and block sensitive data with DLP. Source: Zscaler: Secure the use of generative AI · Read 11 Oct 2026 |
| Has a watch-only or simulation mode | Not in our sources | Not in our sources |
| Records who or what took each actionDiffers | PartlyAI observability and agentic identity and access management are named capabilities. Source: Zenity platform · Read 27 Sep 2026 | Not in our sources |
| Also covers SaaS, cloud or homegrown AIDiffers | MatchesIntegrations include Bedrock, Azure AI Foundry, ChatGPT Enterprise, Claude Enterprise, Copilot Studio, Vertex AI, Microsoft 365 Copilot, Power Platform, Salesforce, Agentforce and ServiceNow. Source: Zenity platform · Read 27 Sep 2026 | PartlyData security for Microsoft Copilot, including misconfigurations. Source: Zscaler: Secure the use of generative AI · Read 11 Oct 2026 |
| Has a public price or tiers (vendor site or marketplace) | Not in our sources | Not in our sources |
| Built into | None | None |
| Works with | None in our sources | None in our sources |
| Price | Not published. Source: Zenity homepage · Read 27 Sep 2026 | Not published (demo request). Source: Zscaler: Secure the use of generative AI · Read 11 Oct 2026 |
Where do they differ?
- On-device control: Zenity partly describes it; Zscaler is not in our sources.
- Network or SSE proxy: Zenity is not in our sources; Zscaler describes it.
- AI or MCP gateway: Zenity describes it; Zscaler is not in our sources.
- Names the coding agents it covers: Zenity matches; Zscaler is not in our sources.
- Decides on a tool call before it runs: Zenity matches; Zscaler is not in our sources.
- Controls what goes into browser AI: Zenity is not in our sources; Zscaler matches.
- Can warn or ask instead of only blocking: Zenity partly matches; Zscaler is not in our sources.
- Records who or what took each action: Zenity partly matches; Zscaler is not in our sources.
- Also covers SaaS, cloud or homegrown AI: Zenity matches; Zscaler partly matches.
Choose Zenity if
- Microsoft 365 Copilot, Copilot Studio, Salesforce or ServiceNow agents matter as much as laptops
- You want an MCP gateway that can modify a tool call, not only block it
Choose Zscaler if
- You already route traffic through Zscaler and want GenAI controls there
- Your main risk is sensitive data pasted or uploaded into GenAI web apps
Which limits should you check?
Zenity
- How it reaches endpoints is not detailed on the pages we read.
- No pricing published, and asking the user before an action is not described.
Zscaler
- Coding agents, MCP servers and local agent actions are not described on the page we read.
- Warn or ask responses are not described, and no pricing is published.