ai agent governance

Your AI agent has access to 47 tools.
Who approved that?

Neurelay controls which agents use which tools, with what permissions, under whose authority. Every tool call policy-driven. Every action auditable.

Get early access How it works →

75 seconds. Three scenarios. Same agent. Same prompt injection.

the problem

Your infrastructure is AI-ready.
Your governance isn't.

You spent a decade building APIs, auth layers, and access control. Now AI agents connect to those same systems — and every tool is visible, every tool is callable, with no policy layer in between.

⚠

No access control

Every agent sees every tool. A support bot and a billing agent have the same access. There's no concept of scoped permissions.

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No audit trail

Which agent called which tool, with what arguments, when? If you can't answer that, you can't pass a compliance review.

No kill switch

Revoking access means reconfiguring every agent. No central control to cut off a compromised credential in seconds.

how it works

Three layers. Default deny.

One endpoint, no code changes

Your agent connects to one MCP endpoint — Neurelay. Behind it: CRM, Billing, HR, GitHub, any server. The agent doesn't know or care. Swap servers, change policies — zero agent reconfiguration.

Policy-filtered discovery

When an agent asks "what tools can I use?", it only sees what its policy allows. 109 tools across 6 servers become 10. Unauthorised tools don't appear. The agent doesn't know they exist.

Stage, test, promote

Create staging and production connections from the same blueprint. Test policies against staging before they touch live agents. Governance follows the same deployment workflow your engineering team already uses.

capabilities

What you get

Blueprint registry

Register your tool servers as blueprints. Define tool schemas, connection details, and metadata in one place. Version and manage your tool catalog.

Policy-based access control

Fine-grained RBAC for AI tools. Policies define which tools a credential can discover and execute. Default deny — nothing is accessible until explicitly granted.

Aggregation gateway

One endpoint for your agents. The gateway connects to multiple tool servers behind the scenes, aggregates tools, and enforces policies at the boundary.

Audit & kill switch

Every tool call logged — credential, tool, arguments, timestamp, result. Revoke a credential or disable a tool instantly from the dashboard. No agent reconfiguration needed.

Smarter tool discovery

More tools in discovery means more tokens burned and more chances the agent picks the wrong one — the hallucination tax. Policy filtering cuts the list. Tuned descriptions help agents choose right. No code changes.

Stage & production environments

Connect tool servers per environment. Test policies and agent behaviour in staging before promoting to production — at the governance layer, not in your dev framework.

See the product in action →

from the blog

Technical depth

All posts →

Mar 31, 2026

We Scaled the Benchmark to 200 Prompts. The Model Wasn't the Problem.

Expanding from 60 prompts across 3 domains to 200 across 5 regulated verticals confirmed what we suspected: right-sizing the model matters, but the governance layer is what makes any of it production-safe.

Mar 17, 2026