---
title: "Claude for Financial Services Alternative You Own"
slug: "claude-for-financial-services-alternative"
author: "ibl.ai"
date: "2026-05-24 09:00:00"
category: "Premium"
topics: "claude for financial services alternative, self-hosted ai financial services, air-gapped ai finance, FINRA compliant ai, on-premise ai bank"
summary: "Claude for Financial Services is a capable cloud product. For banks and advisors that need client data to stay on their own servers, here is the owned, air-gapped alternative."
banner: ""
thumbnail: ""
---

## The choice for regulated finance

Claude for Financial Services is a strong, purpose-built product. It is also a cloud service on a single model family, where your data is processed in the vendor's environment under enterprise terms.

For a lot of work that is acceptable. If you're considering an alternative, it's usually because SEC, FINRA, SOX, or model-risk rules make "our data is processed by a third party" a harder answer than "our data never left our servers."

This is a factual comparison, not a criticism of Claude.

## The differences that matter

| | Claude for Financial Services | ibl.ai |
|---|---|---|
| **Hosting** | Vendor cloud | Your servers — on-prem or air-gapped |
| **Client/trading data** | Processed by the vendor | Never leaves your infrastructure |
| **Model** | Claude family | Model-agnostic, including open-weight |
| **Pricing** | Per seat | Flat-rate, unlimited users |
| **Code & audit** | Closed SaaS | Full source code, your own audit trail |

## Why deployment beats assurance here

A vendor can sign strong terms and promise not to train on your data. An air-gapped deployment makes the promise unnecessary, because there is nowhere for client data or trading intelligence to go.

For SR 11-7 model risk, SEC, and FINRA exams, "show that you control the system, the data, and the decisions" is the recurring ask — and an owned, fully-logged deployment is the cleanest way to say yes.

## What firms run

A KYC/AML agent for verification and sanctions screening, a compliance agent for SEC/FINRA monitoring, a risk agent for portfolio analysis — all where the data stays on your servers.

This is the model behind [self-hosted AI for financial services](/solutions/financial-services): agents built on the [Agentic OS](/product/agentic-os), air-gapped, model-agnostic, with a complete audit trail. ibl.ai runs in production across 400+ organizations and 1.6M+ users.

## The honest tradeoff

If your use is light and low-sensitivity, a hosted plan is faster to start. If you're under examination pressure or deploying firm-wide, owning the deployment wins on both control and long-run cost.

## Where to start

Pick one workflow where the audit trail matters — KYC screening or compliance monitoring — and run it air-gapped against one desk or division. Prove the controls on real cases before expanding.