// governance

The 5 questions every AI-governance buyer is being asked

AI moves at machine speed; governance has to move at the speed of evidence. That gap — between what your developers' agents are already doing and what you could actually prove to an auditor — is where every AI-governance conversation now starts. Five questions keep surfacing. Here they are, and here is how MoorAI answers each one without ever logging a prompt.

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. The tooling most teams bought to close that gap does it by inspecting — and storing — the very content they were trying to protect. There is a cleaner path: answer these questions on the device, content-free.

01Which AI coding agents are running on your developers' machines right now — and can you name the owner of each?

shadow-agent discovery · managed / unmanaged · AIBOM

You almost certainly have unmanaged Claude Code, Cursor, and Copilot installs on developer laptops today, each wired to its own set of MCP servers and local models — and each one is a non-human identity acting on your behalf. MoorAI's shadow-agent discovery enumerates every AI agent on each enrolled machine, tags it managed or unmanaged against an owner, and the AI Bill of Materials (AIBOM) exports the live inventory — agents, models, and MCP servers — as HTML, JSON, or CSV. Think of it as a non-human-identity inventory for the developer endpoint, where the highest-privilege agents actually run. All of it is built from configuration metadata, on the device: it never reads a token value or a prompt.

02When a prompt carries a secret or a customer record, is it stopped on the machine — or does it travel to someone's cloud to be inspected first?

the content-free, on-device wedge

This is the question underneath all the others. Every AI-security tool inspects prompts; the real question is where that inspection happens and what leaves the machine. Most tools proxy or tokenize the prompt off the endpoint to inspect it — so to document that you handle sensitive data carefully, you route that sensitive data through another vendor. MoorAI checks every prompt (and the model's reply) locally, before anything is sent, against a 40+ threat matrix plus content rules. A secret or a customer record is caught and stopped on the device. What reaches the console is a category, a risk level, and a one-way hash — never the content. The inspection never becomes egress.

03Can you produce a signed, tamper-evident record of what each agent was allowed to do — not a dashboard screenshot?

cryptographically signed agency decisions · content-free MCP gateway ledger

A screenshot proves nothing to an auditor. MoorAI records each enforcement decision — coach, alert, block, or a required justification — as a cryptographically signed agency decision, and the on-device MCP gateway keeps a content-free, per-call ledger of every tool invocation: which agent, which tool, under which policy, allowed or blocked. The evidence is tamper-evident by construction and already content-free, so it is safe to hand over as-is. You are showing what happened, not describing it.

04When an agent acts with no human in the loop, can you show who granted that autonomy, under which policy — and revoke it in one place?

just-in-time elevation · entitlement envelope

Autonomy is fine until no one can say who authorized it. MoorAI gates privileged steps behind just-in-time elevation: an agent that needs to do something sensitive gets a scoped, time-boxed grant rather than standing permission, and each grant is attributable — who allowed it, under which policy, on which device. Because the autonomy an agent holds is expressed as an entitlement envelope, you can tighten or revoke it from one place, across the fleet, without redeploying anything. Autonomy becomes something you grant deliberately and take back cleanly.

05Could you hand an auditor your AI-governance evidence today — without also handing over a copy of every prompt your developers typed?

content-free compliance packs · AIBOM

This is where the content-free model pays off. MoorAI's compliance packs map live, per-tenant evidence across OWASP LLM Top 10, NIST CSF, NIST AI RMF, SOC 2, ISO 27001/42001, and the EU AI Act; the readiness report and the AIBOM generate on demand. Every artifact is drawn from redacted, content-free signals — so there is no prompt archive to disclose, redact, or breach. You hand over the evidence of how you govern AI, and nothing about what anyone actually wrote.

The pattern across all five: data minimization and residency by construction. Because the check runs where the prompt is typed, the answers exist as signed, content-free evidence — and most "which jurisdiction, which lawful basis" questions never arise, because there is nothing to transfer.

These are the right questions. The only thing worth arguing about is where they get answered — in a vendor's cloud, or on the machine where the work happens.

See how MoorAI answers all five →

MoorAI — content-free, on-device guardrails for AI agents. Governance without surveillance. See also the AIBOM & EU AI Act guide and MoorAI vs Forcepoint.