Fannie Mae LL-2026-04 — AI/ML governance required Aug 6, 2026

The deterministic control plane for regulated AI decisions

Point your existing OpenTelemetry exporter at Mesh — the same line you send to Datadog — and every AI decision becomes a tamper-evident, offline-verifiable record, governed by a deterministic gate. Lending-grade auditability and structural explainability, not “ask the model to explain itself.”

One line to connectOTEL_EXPORTER_OTLP_ENDPOINT=https://vasperamesh.com/api/otel
0
Trust required in your vendor
1
Immutable ledger row per action
32 bytes
Only data that ever leaves your boundary
100%
Decisions replayable against the policy in force

Capture every decision. Govern the ones that matter. Prove all of it.

Connect in one line, see what your agents actually do, gate the decisions deterministically, and hand a regulator proof they can verify offline.

Connect in one line

Point your existing OpenTelemetry exporter at Mesh — the same line you send to Datadog. Every agent decision is captured: tool calls and structured outputs, not just generations. No SDK rewrite, no per-decision code, no rip-and-replace.

See what your agents actually do

A system map, auto-derived from the ledger, shows every agent, action, and model — and flags the decisions the LLM is making with no deterministic gate checking it. Understand your system before you try to govern it.

Govern the decision, not the model

A deterministic gate runs your policy over the actual decision values — a refund amount, a loan approval, a position size — and returns pass, hold, or escalate. Structural, reproducible reasons; never the model narrating itself.

A hash-chained, externally-anchored ledger

Every decision is one immutable, hash-chained row, stamped with the policy version in force and witnessed on Bitcoin (or your WORM store). Only a 32-byte hash leaves your boundary — no content, no PII. No row, no action.

Verify without trusting us

A standalone offline verifier — importing nothing from our code — re-derives every hash from the published spec and cross-checks the external witness. Your examiner runs it, no login and no vendor dashboard required.

Built for the AI-lending deadline

Framework-mapped evidence packs for Fannie Mae LL-2026-04 (effective Aug 6, 2026), Freddie Mac, ECOA / Reg B, EU AI Act, ISO 42001, and NIST — every control backed by the cryptographic ledger, not self-attestation. Adverse-action reasons that are recomputable, not “the model said so.”

Don't take our word for anything

This is our live production ledger, verified by a standalone script that imports nothing from our code. Run it yourself, right now.

terminal
# Fetch the verifier (200 lines, zero imports from VasperaMesh)
$ curl -sO https://vasperamesh.com/verify-mesh-ledger.mjs
$ npm install canonicalize # RFC 8785 JSON canonicalization — the only dependency

# Re-derive every hash, check every link, cross-check the Bitcoin witness
$ node verify-mesh-ledger.mjs --base https://vasperamesh.com

PASS — chain intact.
  head: seq N, rowHash 3b9c949e5b25d09f…
  anchors: all consistent with the external witness.
  latest anchor: verifiable on Bitcoin with any OpenTimestamps client.

Every row commits to the previous one; every head is periodically stamped into Bitcoin. Tamper with one field of one historical decision and the verifier names the exact row — no matter who did it, including us.

Get a tamper-evident audit trail of the AI you already run

Shadow mode starts with a base-URL change — no gating, no integration project, no risk to production. When you and your examiners are ready, graduate one workflow at a time.

Self-hosted / VPC / on-prem • Your data never leaves • Only a 32-byte hash ever does