MoorAI vs Zenity

Where MoorAI goes deeper

The on-device, content-free properties a console-first governance platform structurally cannot reach. Zenity secures the decision and reports it upward; MoorAI keeps the content on the machine and emits only redacted signals. Where the two diverge most is what an auditor is allowed to read, and whether the agent still enforces with the network cut.

Shared ground on the developer endpoint

Zenity’s coding-agent work is real and specific. It “inventories every coding assistant across developer endpoints,” and it stops actions at runtime: “stop the decision before it becomes a commit” (zenity.io). It also mediates tool calls and maps threats to OWASP and MITRE ATLAS. Expect real overlap on the developer endpoint.

Where Zenity covers more ground

Zenity reaches the platforms where agents get built. Because it connects to the platforms an enterprise builds agents on, and governs the whole estate from one console, it covers an enormous amount of surface MoorAI does not attempt and has no roadmap to attempt. If the requirement is “one control plane over every agent the company builds, buys and runs,” that is their product and not ours. MoorAI never touches a Copilot Studio flow or a Salesforce Agentforce agent.

The two rows worth explaining. We do not mark Zenity absent on the coding-agent endpoint: they inventory and enforce there, and we take that claim at face value; it sits in the overlap block above. What MoorAI marks ✗ on Zenity is narrower and testable: no content-bearing telemetry, by architecture. A governance console’s value is that it sees agent behavior and centralizes it; MoorAI’s value is that it does not. MoorAI emits category · risk · keyed one-way hash (plus the login and hostname, which the console pseudonymises on arrival) and nothing else, the agent is MIT, and anyone can read the code and verify there is no content path off the device. And on the runtime kill-switch MoorAI is partial: it blocks the tool call before it executes on the endpoint it runs on, where Zenity can shut down an agent it governs anywhere in the estate.

Where MoorAI is stronger. The content stays local, and the record is content-free. Zenity’s model is to observe the decision and correlate it centrally. That is useful, and it is the only way to govern agents you didn’t write. But it means the console is in a position to see prompt and output content, and it depends on that console being reachable. MoorAI sits at the exact point where a coding agent reads a .env, pastes a screenshot, or drives a local MCP server over stdio (none of which necessarily crosses a network a console could inspect), and it decides on the device, offline if it has to. Each decision lands as a signed, content-free record, backed by in-toto/SLSA attestation of the action chain and a CycloneDX/SPDX AIBOM of the agent’s model, MCP and skill surface, and mapped to the OWASP LLM Top 10, the OWASP Agentic Top 10 (ASI01–ASI10), NIST AI RMF, ISO 42001 and the EU AI Act. The content-free default has two exceptions: an administrator can enable a capture tier that stores the matched text it was turned on to collect, and on a platform whose OS can’t read an image locally a pasted screenshot goes to your own AI provider for text extraction, never to us.

Where Zenity is stronger. Breadth, and the enterprise-built-agent surface. One console governing Copilot Studio, Power Platform, Salesforce Agentforce, ServiceNow, Bedrock, Vertex and the SaaS copilots is a real procurement argument MoorAI has no answer to; those agents are built and run on platforms MoorAI never sees. Zenity also adds build-time posture, cross-fleet policy simulation, least-privilege tooling, and an adversarial-research program (Zenity Labs) that contributed techniques to MITRE ATLAS. MoorAI runs on macOS, Windows and Linux (Linux OCR opportunistic, not first-class) with Intune and Jamf fleet rollout, but it stays single-purpose, endpoint-local and free. Those are different purchases for different problems.

Where each fits. They are more complementary than competitive. Run Zenity if you need one control plane over every agent the organization builds, buys and deploys across SaaS, cloud and low-code. Run MoorAI where developers run coding agents with terminal and filesystem access, where you need the MCP layer governed at call time on the device, and where the evidence an auditor reads must contain no one’s prompt content at all.

Zenity capabilities are mapped from Zenity’s own published platform, use-case and research pages as of 2026; quoted phrases are theirs and attributed to zenity.io. ◐ = partial — present but narrower than the other column. — = unconfirmed, not necessarily absent: it marks a capability their published material does not clearly document. MoorAI marks reflect shipped capability. Zenity is a trademark of Zenity Inc.; this page is not affiliated with or endorsed by Zenity, and it is an independent capability comparison, not an endorsement. Every product here evolves — verify specifics against their current documentation.

What else MoorAI includes, all on-device and content-free: Skill Analysis (content-free intent-labels of the auto-loaded skill surface), a per-agent destination map, on-device OCR so image inspection never leaves the device, a lethal-trifecta detector, rules-file poisoning detection (CLAUDE.md / .cursorrules), per-tool MCP argument rules, a per-agent assurance score, browser GenAI interception across eight chat apps (ChatGPT, Claude, Copilot, Gemini, Perplexity, Mistral, DeepSeek, Grok), an opt-in on-device model escalation on ambiguity (default off), support for macOS, Windows and Linux (Linux OCR opportunistic, not first-class), Intune and Jamf fleet rollout, cryptographically signed agency decisions, and in-toto/SLSA attestation of the action chain plus a CycloneDX/SPDX AIBOM of the agent’s model, MCP, tool and skill surface. All of it is mapped across the 85-threat matrix to the OWASP LLM Top 10, the OWASP Agentic Top 10 (ASI01–ASI10), NIST CSF, NIST AI RMF, SOC 2, ISO 27001/42001, and the EU AI Act.