74% of employees
were already
on public 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.
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.
A policy is a promise. A closed box is physics.
A written AI-use policy is one forgetful user away from the same failure. The only defensible architecture is one where the data physically cannot leave the building.
// 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
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.
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 referral links.
- > Discovery. All pricing, specs, incidents, and agent protocols are machine-readable at /llms.txt, /llms-full.txt, /api/pricing.json and /api/incidents.json.