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Runtime governance

This page describes what is deployed and running today, and what is in design-partner preview. We label the difference, because the difference is the product.

MCP governance gateway live in production

Agents that speak the Model Context Protocol route their tool traffic through the gateway at app.neuravant.ai/mcp/{upstream}. Every tools/call is evaluated against your tenant's policy before it is forwarded to your MCP server — pre-action interception, not post-hoc logging.

Onboarding is currently white-glove: we register your upstream MCP server and set the initial policy with you during a working session, then you manage policy via the admin API. There is no self-serve screen for this yet. Start with team@neuravant.ai or book via certification.

Signed audit chain — neuravant-enforce design-partner preview

The Continuous Agent Attestation library embeds an enforcement gate in-process with your agent: policy match, verdict, HMAC-SHA256 signature with per-tenant HKDF-derived keys, and a hash-linked decision chain. Mutating or deleting a record breaks every subsequent signature. The methodology is public: Continuous Agent Attestation.

Honest status: the library is v0.1.x, not yet on PyPI, and the hosted gate API and this page's former dashboard are not deployed. Design partners run the library in-process, with durable chain storage and periodic anchoring configured as part of the engagement. If you want to be one of those partners, write to us.

What we will not show you

No synthetic uptime bars, no fabricated latency tables, no dashboards wired to endpoints that do not exist. Live component health is at /status.html. Measured performance figures for the in-process gate are on the methodology page, labelled with exactly what was measured and when.