MoorAI vs Noma Security

Where MoorAI goes deeper

Same hook, different underneath: on the device, content-free, with a detector you can read and published numbers for what it catches and what it gets wrong. Several Noma rows are marked — unconfirmed, not absent, because Noma’s backend is proprietary and its public material does not document these either way.

Where the two meet head-on

Noma is not marked absent here. It ships open-source hooks for the same coding agents, and at the coding-agent surface the two products meet directly. Expect substantial overlap if you evaluate both.

Where Noma Security covers more ground

Most of Noma’s weight sits here. Noma is a funded enterprise platform, and the coding-agent hooks are one product in a suite. If the requirement is a central governance plane across all of an organisation’s AI, not just the coding agents on a laptop, that is Noma’s product, and MoorAI does not attempt it.

MITRE ATLAS, as documented. In our reading of vendor material against the 76 ATLAS techniques tagged Agentic AI, Noma Security’s published material documents 20 of the 76 (read 1 October 2026), 10 of them with a limit the vendor states. Noma documents the same native-hook path for Claude Code and Cursor that MoorAI uses, so most of its coding-agent cells are first-party claims; several others are posture or inventory findings rather than runtime blocks. That counts what the documentation says, not a test of the product. The method and every quote behind the number are in MITRE ATLAS agentic-technique coverage.

Where MoorAI is stronger. Content-free evidence you can audit, at the coding agent. Both products hook the same agents, so the difference is what happens after the hook fires. Noma’s plugin sends the event to its backend to be judged; MoorAI judges it on the machine and, by default, only category · risk · keyed one-way hash (plus the login and hostname, which the console pseudonymises on arrival) leave. Because the detector is MIT, you can check the content-free claim in the code. The two exceptions are documented: an administrator can turn on a capture tier that stores the matched text it was enabled to collect, and on a platform whose OS cannot read an image locally a pasted screenshot can go to your own AI provider for text extraction, disclosed before it runs, never to us. MoorAI keeps deciding with no network, hooks Gemini CLI as well, runs in CI and containers through server mode, and publishes its detection numbers with the false-positive rate printed beside them.

Where Noma Security is stronger. The enterprise plane across all of your AI. Noma is a funded platform whose coding-agent hooks are one module beside AI-SPM, Agent Access Control, AI Red Teaming and AI-DR. It discovers agents across a fleet through EDR or MDM with nothing new to install, scans MCP servers for supply-chain risk, keys policy to IdP users and groups down to individual tools and actions, correlates a whole session so an injection followed later by exfiltration is visible, reaches Claude Code and Cowork sessions that run in Anthropic’s cloud, and detects agents signed in with personal accounts. It covers SaaS and homegrown agents as well as coding agents, deploys as SaaS or on-prem, rolls out through Cursor Enterprise or MDM, shows ISO 27001, SOC 2 and HIPAA badges, and comes with the support of a vendor that raised a $100M Series B. MoorAI does none of the estate-wide work; it ships a single, focused, on-device tier for the coding agent.

Choosing between them. They overlap more than most pairs on this site, so the choice is real. Pick Noma if you need one control plane governing every kind of agent across the organisation, with fleet discovery, identity-aware policy, red teaming and runtime response, and you are comfortable that coding-agent events are evaluated in a backend, Noma’s or your own on-prem deployment. Pick MoorAI where the requirement is that the coding agent is governed on the developer’s own machine, the evidence an auditor reads contains no one’s prompt content at all, the tool decides offline and coaches with no account, and the detector, along with the numbers for what it catches, is open enough to check yourself.

Questions about MoorAI and Noma Security

Noma Security capabilities are taken from Noma’s own published material, checked on 1 October 2026: github.com/Noma-Security/noma-marketplace, Coding Assistant Security, Endpoint Agents, AI-SPM, AI Red Teaming, Noma Brings Agent Security to Every Employee Endpoint and Noma’s Series B announcement. Every quoted phrase is Noma’s. Analyst mentions on Noma’s pages are not used. ◐ = partial — present but narrower or differently sited than the other column. — = unconfirmed, not necessarily absent: it marks a capability Noma’s public material does not clearly document, and because the Noma backend is proprietary it cannot be verified either way. MoorAI marks reflect shipped capability: hook enforcement is validated end to end on Claude Code; Codex, Copilot CLI, Gemini CLI and Cursor block through their own pre-tool hooks and are not yet validated against the live agents. MoorAI’s detection figures are its own, from its README, and were not produced by a third party. The agent is MIT and runs on macOS, Windows and Linux; the console is source-available under the Elastic License 2.0, free self-hosted with no user limit, and paid when hosted by MoorAI. Noma Security is a trademark of its owner; this page is independent and is not affiliated with or endorsed by Noma Security. Both products change, so check specifics against current documentation.