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MoorAI
// overview

Who it's for

MoorAI lets your team use AI tools while keeping your company's information out of them.

// the problem, in plain terms

Your team wants AI. Your company can't afford the risk.

01
Your employees already use AI — ChatGPT, Claude, Copilot — whether or not IT approved it (that's shadow AI). It's on your machines right now, and you can't see how it's being used.
02
To get useful answers they paste in real company information — source code, API keys, customer records. Once it's sent, it can be stored or learned from, and you can't take it back.
03
And it's not only leaks — it's whether AI is used responsibly at all. MoorAI gives you visibility and control over both, without reading a single line of what your people actually write.
// who it's for

One agent, two kinds of user.

The same on-device engine, scoped to whoever's using it. In every case the checking happens locally — nothing leaves the machine, and no one reads what was typed.

// everyone at work
Employees
Your team already pastes source code, credentials, and customer data into ChatGPT, Claude, and Copilot. MoorAI checks what's about to be sent — right on the machine — then coaches, warns, or blocks before anything sensitive leaves. Security sees a category and a risk level, never the prompt.
Coach · alert · block · content-free signals
// coding agents
Developers
The deepest enforcement lives here. MoorAI hooks the agent itself — blocking a secret being read into context, inspecting MCP tool-call arguments, enforcing an approved-MCP allow-list at call time, and reviewing what the model says back. Not just what gets typed.
Claude Code — full hook enforcement
Codex / Copilot CLI — detection-only
// vs the alternatives

On-device,
not in the cloud.

Most AI-security tools review prompts in a cloud, a gateway, or a vendor's own service — content leaves the endpoint to be inspected. MoorAI reviews prompts on the device, so content never leaves the machine, and it wraps the AI agents you already run. See the honest, architecture-level head-to-heads — including where each alternative is genuinely stronger.

The AI-integrated development pipeline starts on the developer's machine — that's where prompts are written, files are read into context, and MCP tools are called. MoorAI is the first control point on that pipeline, upstream of the CI, SCA, and code-scanning tools that only see risk once code is already committed. Govern AI use where it actually happens, not after the fact.

MoorAI vs Operant → MoorAI vs Lakera Guard → MoorAI vs SentinelOne → MoorAI vs Netskope → MoorAI vs BigID → MoorAI vs Harmonic → MoorAI vs Zenity → MoorAI vs Cycode → MoorAI vs Bifrost → MoorAI vs Ent →
// how to think about it

Where the prompt is inspected is the whole question.

Three framings we keep coming back to — because they are the ones security leaders are being asked about, and the ones the content-free, on-device model answers cleanly.

// non-human identity
An NHI inventory for the developer endpoint
The market now counts ~144 non-human identities per human user — and coding agents, their MCP servers, and the local models on disk are exactly that: identities that act on your behalf. MoorAI’s agent discovery + AIBOM is the register for the ones living on the developer endpoint, where the highest-privilege agents actually run.
// the audit gap
Evidence you could hand an auditor in 90 days
Grant Thornton’s 2026 AI Impact Survey found 78% of 950 senior leaders lack strong confidence they could pass an independent AI-governance audit within 90 days. MoorAI closes that gap with signed decisions, an AIBOM, and framework packs — evidence that is auditable by construction, not a dashboard screenshot.
// the content-free wedge
The question isn’t whether — it’s where
Every AI-security tool inspects prompts. The real question is where that inspection happens, and what leaves: a category, a risk level, and a keyed one-way hash on the device — or the actual content in a vendor’s cloud. MoorAI inspects prompts and responses, on the machine, so the inspection never becomes egress.
Same idea, one line: data minimization and residency by construction. Because the check runs where the prompt is typed, most “which jurisdiction, which lawful basis” questions simply never arise — there is nothing to transfer.

Review it
on the device.

Coach, alert, or block — before the prompt reaches the agent.

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