MoorAI vs Pluto

Where MoorAI is different

Pluto’s public material states real-time enforcement (“Block unauthorized actions in real time”, “Allow trusted MCPs. Quarantine the rest.”) and also calls Pluto “Agentless. Onboarded in minutes” (pluto.security; plutonium.pluto.security); it does not describe where or how an action is stopped, and its product documentation requires a sign-in. The rows below are the specific controls MoorAI ships. A “—” means Pluto’s public site does not document the capability, not that Pluto lacks it.

Shared capabilities

Both products start from the same premise: the endpoint is now where people build with AI, and security teams need to see and control it rather than ban it.

Where Pluto covers ground MoorAI does not

Pluto is broader. It reaches the app builders and SaaS workspaces that MoorAI does not cover, correlates findings across identity, endpoint and data, and backs the platform with public research and free risk catalogs. If the requirement is visibility across everything employees build with AI, not only coding agents, these rows are the reason to look at Pluto.

Reading the marks. Many of Pluto’s cells are “—” or ◐ because its public site describes enforcement as an outcome (“Surgical enforcement and intent-based policies that adapt in real time”) and shows controls as use cases (block, quarantine, require approval) without saying where they run; it also calls Pluto agentless. Treat those rows as questions for a Pluto demo. The ✗ marks are narrower: Pluto’s platform is proprietary, and on its Claude Enterprise path the prompt, tool calls and connected datasets are in the platform. A Pluto glossary page says “Prompt-content visibility is opt-in and off by default”, so ask which endpoint fields reach Pluto by default. MoorAI does not execute skills at all; if dynamic analysis of skills matters to you, ask Pluto directly.

MITRE ATLAS, as documented. In our reading of vendor material against the 76 ATLAS techniques tagged Agentic AI, Pluto’s published material documents 7 of the 76 (read 29 October 2026): AML.T0053 AI Agent Tool Invocation and AML.T0010 AI Supply Chain Compromise, from the home page’s enforcement use cases, and, each with a limit on what it covers, AML.T0051 LLM Prompt Injection and AML.T0086 Exfiltration via AI Agent Tool Invocation, flagged in Claude Enterprise sessions after the fact and in Private Preview, AML.T0103 Deploy AI Agent and AML.T0132 Misconfigured or Publicly Exposed AI Services, which are discovery and posture findings, and AML.T0109 AI Supply Chain Rug Pull, a listing rule of the free Market Space catalogue. Most of Pluto’s material is research and education, which explains attacks rather than claiming a control, so it adds no cell. That counts what the public pages say; Pluto’s documentation is behind a sign-in and was not read. The method and every quote behind the number are in MITRE ATLAS agentic-technique coverage.

Where MoorAI is stronger. A decision on each action, on the device, and nothing sent but a category. The hook sees each tool call before it runs and can coach, alert, mask, block or kill, hold the agent to a declared envelope of tools, paths and MCP servers, and route a block to an approver. The MCP gateway enforces an allow-list with approval and alerts on, or by policy blocks, a tool whose description or schema changes after approval. The same engine runs on AI servers through the model proxy, MCP HTTP gateway, egress proxy and Agent SDK, and it keeps enforcing with no network, air-gapped, against a self-hosted console. The console receives a category, a risk level and a keyed hash (plus the login and hostname, which the console pseudonymises on arrival), never the prompt. The agent is MIT-licensed, and the console is free self-hosted under the Elastic License 2.0, with no user limit, and paid when hosted by MoorAI.

Where Pluto is stronger. Breadth, context and scale. Pluto covers app builders and automation platforms, brings Claude Enterprise users, projects, datasets and session risk in through the Compliance API, classifies the data connected to AI projects, and ties those findings to identity and data on one graph. It reports more than 1.5 million endpoints under protection. Its research team finds and discloses MCP vulnerabilities and tracks malicious extension and model campaigns, and Plutonium’s catalogs, Market Space and MCP Inspector are useful to anyone, customer or not. MoorAI does not cover app builders or SaaS-hosted agents; its Compliance API connection reads the Activity Feed and settings only, never chat, file or project content.

Running both. The two fit together. Use Pluto for organization-wide visibility into what employees build with AI, across app builders, SaaS workspaces and endpoints. Use MoorAI on developer machines (rolled out through Intune or Jamf) where coding agents run with terminal and filesystem access, where each tool call needs a decision before it executes, and where the audit record should contain no prompt content.

Questions about MoorAI and Pluto Security

Pluto capabilities are taken from Pluto Security’s own published material, checked on 29 October 2026: pluto.security (home, about, blog, glossary and questions, and its llms.txt), plutonium.pluto.security, the MCP Inspector and Pluto’s GitHub organisation. Pluto’s documentation site requires a sign-in and was not read. Every quoted phrase is Pluto’s; customer and analyst quotes on Pluto’s pages are not used. ◐ = partial: present but narrower than the other column. — = unconfirmed, not necessarily absent. MoorAI marks reflect shipped capability: hook enforcement is validated end to end on Claude Code; Codex, Copilot CLI, Gemini CLI, Cursor and Factory Droid block through their own pre-tool hooks. Pluto is a trademark of its respective owner; this page is not affiliated with or endorsed by Pluto Security, and both products change often, so check specifics against Pluto’s current material.