Everyone's using ChatGPT, Claude, and Gemini. But while your team pastes confidential reports, customer data, and strategies into public chats, you're actually donating your intellectual property to train the models of tech giants.
In simple terms: it's having artificial intelligence run inside your own house, instead of sending everything to a third-party server overseas.
You send your data to third-party servers, in datacenters overseas, subject to foreign laws and with no control over what happens after processing.
Models (SLMs and LLMs) are deployed in your cloud infrastructure or a dedicated VPC like MyDatAgent's in Brazil. What goes in stays in.
If you're a CEO, CTO, CIO, or Chief Legal Officer, these are the points your auditor and legal team are already looking at — even if you aren't yet.
By sending personal data (CPF, CNPJ, purchase history) to US-based public AIs, you're making an international data transfer without proper consent.
That source code your dev pasted into ChatGPT to debug? The pricing strategy your marketing asked the AI to summarize? Data on public platforms can be retained and used to train future model versions.
Building products on top of OpenAI's API means being hostage to USD pricing, exchange rate swings, and the whims of an American company. If they double prices tomorrow, your margins vanish.
Public AIs don't know your company. They invent rules, create non-existent policies, and can generate responses that damage your brand. Without private guardrails, it's an unsupervised employee.
Thought the risks of public AI were compliance hype? Below are real cases that shook the corporate market — billion-dollar companies that lost control of their greatest asset with one ChatGPT click.
Alert · 3 documented incidents · direct damage to intellectual property and customer data
Engineers used ChatGPT to review confidential source code for bugs and optimizations. The problem? They pasted proprietary code directly into OpenAI's public interface."In 20 days, three separate incidents. Patents, fab code, and meeting recordings."The intellectual property now lives on third-party servers — potentially training models any competitor could consult.
Global ChatGPT ban within the company and investment of millions of USD to develop SEED, its private internal AI.
If the companies that create AI are afraid, you should be too. In just months, three of the world's largest firms restricted public AI use internally after detecting leaks from employees.
Those who live by AI don't trust public AI. That alone is the loudest alarm any Brazilian CEO can hear about outsourcing your operation's brain.
It's not just code that leaks. Direct damage lives in marketing and post-sale. Real scenario happening every single day:"Create a segmented email for this audience" · spreadsheet with names, CPFs, and history pasted into ChatGPT.In seconds, sensitive data (PII) crossed Brazil's border unencrypted — direct LGPD violation. If ANPD discovers it, or if the provider suffers a breach, the damage goes beyond digital.
Fines up to 2% of annual revenue · capped at BRL 50 million per violation — plus civil lawsuits and irreparable damage to consumer trust.
No short-term productivity gain justifies handing your company's code or customer data to uncontrollable servers. The only safe way to run corporate AI is in a closed, auditable environment under your sovereignty.
Private AI isn't a Big Tech luxury. It's the only sustainable way for a Brazilian company to run AI at scale — without handing over data, facing fines, or dealing with exchange rate swings.
Your data processed in Brazilian datacenters, under Brazilian jurisdiction, 100% LGPD-compliant. No international transfer.
Zero retention of data by third parties. Models don't train on your content. The model is yours, the knowledge is yours.
Pay for GPU infrastructure, not tokens in dollars. Run as many requests as you want with healthy margins and in Brazilian Real.
Understanding the problem is easy. Implementing the solution securely requires a method. We've built the executive + technical guide that CTOs and Chief Legal Officers use to transition from public to private AI — without risk.