Governance for the AI your company is already shipping. Book a demo→

Deploy the AI that moves real money, and prove every move.

Avanor keeps a live inventory of every AI you run and a tamper-evident record of what it did, so you can deploy more, faster, and hand anyone the receipt.

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“I can't secure things I don't know about.”

GRC director · AI-forward B2B SaaS

Your agents are already acting on the business. You just can’t see it.

They're approving underwriting, moving money, touching patient and customer data, taking actions a regulator can ask about later. And no one can say exactly what they did. So you either throttle back and fall behind, or let them run and own the exposure.

Underwriting agent bound a policy outside appetite

Approved a $2.4M limit with no second-line review

9:50am – 9:51am·underwriting-agent

Payments agent issued a refund over the limit

$18,400 refunded above the $5,000 policy cap

11:02am – 11:03am·payments-copilot

Support agent sent customer data to an outside tool

142 records with PII pushed to an unapproved endpoint

1:14pm – 1:15pm·support-assistant

Claims agent denied a claim with no recorded rationale

Decision issued; no reasoning captured for the file

3:47pm – 3:48pm·claims-copilot

See exactly what they did.

Follow a single agent action, from the moment it fires to the record no one can edit.

Agent attempts to refund $10,000 using

stripe.refunds.create

01 / 04

The agent acts

A billing agent moves to refund a customer $10,000. It picks the tool and executes, the way it would thousands of times a day.

Avanor checks it against

refund_limit_policy

in real time.

02 / 04

Avanor checks it, in real time

Before the action lands, Avanor evaluates it against the policy you set, in the path of the call. No detour, no delay.

It exceeds your

$5,000 refund limit

so Avanor flags it.

03 / 04

It catches the violation

The refund is over your $5,000 limit. Avanor flags it and records exactly which rule it broke, and why.

04 / 04

It seals an unforgeable record

The action, the decision, and the reason are hashed into an append-only chain no one, including us, can edit.

See it. Prove it. Then let it do more.

Avanor finds every AI in your stack, records what it does in a log no one can edit, and gives you the controls to safely widen what it is allowed to do.

Inventory

Every AI in your stack, found for you.

Ingest

Capture wherever AI runs. Custom code, agent frameworks, cloud AI, and workflow tools.

Tamper-evident record

Every action, hash-chained and append-only. No one, including us, can edit it.

Risk register

Every issue linked back to the agent that caused it.

Governance controls

Allow, gate, or hold the riskiest actions. We build the guardrails with your team.

Framework-neutral by design

One record, mapped to whatever framework your auditor asks about. NIST AI RMF, ISO 42001, EU AI Act, and more.

More frameworks and industry bundles rolling out.

It meets your AI where it already lives.

Two lines in the path of the call: one checks the action before it runs, one seals it after. The same two lines whether your AI runs on Bedrock, LangChain, the Vercel AI SDK, or your own code. No rip-and-replace, no agent rewrites.

bedrock-agent.ts

1import { InvokeModelCommand } from '@aws-sdk/client-bedrock-runtime'

2import { avanor } from './avanor'

4export async function runAgent(input) {

5 const { allow, reason } = await avanor.allow('invoke_model', { input });

6 if (!allow) throw new Error(reason);

8 const out = await bedrock.send(new InvokeModelCommand(body));

9 await avanor.attest('invoke_model', { input, out });

10 return out;

11}

Independent · tamper-evident

A record no vendor can edit. Not even us.

That second line seals a record. But a record only counts if no one can rig it. The real question isn't what the log says. It's who you have to trust to believe it.

Not independent

The AI vendor's own logs

The company that built the AI certifies what it did. It grades its own work.

Not attestable

LLM observability tools

Built to debug prompts and traces, not to prove to an auditor what the agent did.

Never enforces

GRC tools

You record that a control exists. Nothing checks or enforces it at run time.

Not neutral

Build it yourself

Your own team's logs checking your own team's agents. No outside party can vouch for them.

You don't let the thing being watched grade itself. CrowdStrike sits beside Defender.

Deploy the AI you've been holding back.

With the record in place, you can put AI on the work that matters. Make: new revenue, faster underwriting and onboarding. Save: automate the manual work. Scale: from one human per action to a handful overseeing hundreds of thousands. The business gets the upside; the risk team gets the proof.

We record what your AI did. Not your data.

Data minimization: We capture the AI's actions and metadata, not your production or customer data.
No training: Your data is never used to train a model. Not ours, not anyone’s.
US jurisdiction: US-domiciled and US-controlled, with no foreign-government exposure.
Independently re-verifiable: The record is recomputable by anyone. You never take our word for it.

Built by a founder who shipped it and sold it. Advised by a 25-year CISO (ex-DHS Privacy) and an IAPP chapter chair.

The rules are multiplying. Build to one framework and you'll rebuild for the next.

State laws diverge, standards stack up, and every auditor measures you against a different one. Bet your controls on a single framework and the next one makes you start over.

US State AI Legislation

Source: IAPP, March 2026

Signed5In motion18None28

Book a demo. 30 minutes with the founding team.

We'll reach out within 24 hours to confirm a calendar slot.