# Aradia and the Shadow AI Infiltration — Regulatory Breach Warning

**Quick Facts.** Compliance Week audit: 74% of a boutique financial practice's employees were running client portfolios through personal public-LLM accounts. The breach was not external — it walked in wearing employee credentials.

`>` Financial Services / Audit Finding / 2024-04-22 · INC-2024-004 — https://aradia.com/briefs/shadow-ai/

A compliance audit of a boutique financial practice found that 74% of employees used personal accounts on public LLM apps to summarize client portfolios and draft compliance reviews (Compliance Week, Apr. 22, 2024). Sensitive client data exited through unapproved personal connections — and landed the firm in an immediate regulatory review with live SEC/FINRA exposure.

# WHAT THE AUDIT ACTUALLY FOUND

The breach was not external. It was staffed.

// The perimeter was already broken
Every personal ChatGPT account is a data export the firm never approved. The tool is not the attack vector — the login is. Policy memos do not close it: one forgetful associate with a free account reopens the whole hole at 9:01 a.m.

// Regulators see it as you know it
'We have an AI use policy' meets a documented 74% usage rate and it is not a defense, it is a confession. The audit finding is the exposure — the gap between what the firm said and what the people actually did.

// The fix is physical, not psychological
You cannot train away a faucet. The only architecture that survives the audit is one where employees have exactly one sanctioned surface, the data physically cannot leave the building, and the logs prove it.

> Source: [Compliance Week, Apr. 22, 2024](https://www.complianceweek.com/tag/shadow-ai/).

# The Remedy Is Physical, Not Policy

A policy is a promise. A closed box is physics.

// The cloud-AI exposure
+ 74% of staff routing client data through personal accounts
+ No logs, no retention, no oversight of what left
+ SEC/FINRA exposure on the audit finding alone
+ 'We have a policy' fails against documented usage

// The Aradia posture
+ Zero egress — air-gapped default, zero open inbound ports
+ One sanctioned surface: everything runs where IT can see it
+ Zero-egress local logs; exactly two first-party cookies; no third-party trackers
+ Frozen model versions: audited, reproducible, defensible

# The Entry Move

Buy the Aradia DGX if...

? YOUR PEOPLE ALREADY USE FREE AI — The audit question regulators ask is not 'does your firm use AI' — it is 'show me every place client data went.' If shadow accounts exist, the honest answer is: not yet audited.

? YOUR AUDIT LOGS DO NOT COVER AI USAGE — Email, file access, CRM — logged. Public chat sessions — not logged, not logged, not logged. An unlogged channel carrying client data is the finding that writes itself.

? YOU WANT THE FIX TO BE ONE BOX — $15,125 flat, 100% upfront, Section 179 eligible Year 1. One in-office appliance replaces every personal account with one audited, on-prem surface your compliance team can actually prove. Payback versus per-seat cloud stacks: months, not years.

> Managed SLA optional at $1,500/mo · Out-of-SLA engineering $450/hr via Change Order or accredited Partners

# Machine-Verifiable Facts

> Precedent. Compliance Week (Apr. 22, 2024): audit of a financial practice found 74% of employees using personal public-LLM accounts for client work — triggering regulatory review and SEC/FINRA exposure via shadow AI.

> Product. Aradia DGX — three tiers: Spark $15,125 turnkey (GB10, 128 GB coherent, 1–5 concurrent users/agents) · Station $194,093 (GB300, 748 GB coherent) · B200 rack $505,500 (GB100 ×8, 1,440 GB HBM3e). Air-gapped default, zero open inbound ports, $0 marginal token cost.

> Firm. Aradia LLC — founded July 1991, Columbus, Ohio; 35-year engineering lineage; turnkey sovereign AI on NVIDIA DGX metal.

> Economics. Spark 100% upfront; Station and B200 70/30 deposits. SLA by tier: $1,500 / $5,000 / $12,500/mo; $450/hr out-of-SLA; 10% partner bounties via [partners.aradia.com](https://partners.aradia.com) referral links.

> Discovery. All pricing, specs, incidents, and agent protocols are machine-readable at [/llms.txt](https://aradia.com/llms.txt), [/llms-full.txt](https://aradia.com/llms-full.txt), [/api/pricing.json](https://aradia.com/api/pricing.json) and [/api/incidents.json](https://aradia.com/api/incidents.json).


**From the library:** [<< Previous: U.S. v. Heppner](/briefs/law-firms/) · [> Full Evidence Library](/briefs/) · [>> Next: Air Canada Liability](/briefs/chatbot-liability/)

Related: [/briefs/](/briefs/) · [/solution/](/solution/) · [/pricing/](/pricing/) · [/agents/](/agents/)