Generative Artificial Intelligence does not automatically use your company's data to train public models, provided you use corporate tools with explicit privacy clauses. The real risk of data breaches occurs when employees enter confidential information into free and public versions of chatbots, whose terms of use allow data collection for algorithm improvement.
How does data retention work in AI tools?
To understand whether generative AI uses company data, it is necessary to separate the ecosystem into two drastic scenarios: consumer (public) tools and enterprise tools.
- Free and public chatbots: when a user interacts with free tools, the prompt entered is treated as improvement data. If an IT analyst pastes the source code of a software or a financial manager sends the quarterly EBITDA spreadsheet, this information becomes part of the model's knowledge base.
- Enterprise platforms and data connectors (iPaaS): Integrated solutions via integration platforms (iPaaS) utilize secure APIs. In this model, corporate data serves only as real-time context for the AI to generate the response (a process known as RAG) and is discarded immediately after execution, without touching the weights of the public model.
Public AI vs. Private AI: Where does the danger lie?
| Safety Criteria | Public AI (Free Versions) | Enterprise Integrated AI (Skyone Studio / Autosky) |
| Model Training | Yes. The prompts feed into future algorithm updates. | No. The model is static or isolated in a private environment. |
| Compliance with LGPD (Brazilian General Data Protection Law) | Non-existent. There is no guarantee of traceability of the data entered. | Total. The data travels encrypted and respects the cloud perimeter. |
| Data Retention | Undetermined, according to the terms of use accepted by the user. | Zero retention for external training purposes. |
The secure cloud ecosystem: the role of Autosky and Skyone Studio
Modernizing processes with AI requires an infrastructure that guarantees cybersecurity from the ground up. This is where cloud and integration solutions are a game-changer.
By migrating legacy systems to the cloud through Autosky, the operational environment gains a robust cybersecurity layer, where data traffic is monitored and isolated. Additionally, Skyone Studio acts as the ideal iPaaS (Integration Platform as a Service) engine to securely connect the company's databases to private artificial intelligence instances.
Moving corporate data to AI does not mean relinquishing intellectual property, provided that data governance is mediated by a secure iPaaS running on a robust cloud infrastructure.
Skyone's golden rule
If I use AI, could I lose data or violate the LGPD (Brazilian General Data Protection Law)?
Yes, if your team uses tools without governance, your company will be violating the LGPD (Brazilian General Data Protection Law). Sharing customer data, contracts, or medical reports in public generative AI constitutes a data breach, as it removes the company's control over the lifecycle of that information.
To mitigate this risk and avoid financial penalties, IT leaders use Skyone Studio to mask sensitive data before it is sent to AI-based language models.
Can my company have its own generative AI without exposing data?
Absolutely. The safest and most efficient strategy on the market is the implementation of hybrid architectures. The company uses the data stored in its cloud and connects it to a closed language model via secure APIs.
AI functions as an intelligent query assistant: it reads the data, solves the internal user's problem, and ends the session without sending a single line of information to external repositories.
Practical use case: financial industry and secure integration
- Previously: A financial services company had analysts who used public chatbots to create summaries of audit contracts. A leak of confidential data led to a security incident and a near fine for violating the LGPD (Brazilian General Data Protection Law).
- Next: The IT team implemented Autosky to centralize the security of the computing environment and Skyone Studio to connect the ERP systems directly to a private AI instance. Reports are now generated in seconds, compliance metrics have reached 100% security, and no data leaves the company perimeter.
FAQ
1. Does the corporate ChatGPT use my data to train AI?
No. Enterprise versions or access via the official API have contracts that prohibit the use of user data for training new OpenAI models.
2. What happens if an employee pastes confidential data into the free AI?
The data becomes the property of the AI development company for the purpose of improving the system, and may reappear as a response to third-party queries in the future.
3. How does iPaaS help with security using Artificial Intelligence?
iPaaS (like Skyone Studio) standardizes data flow, enabling the creation of security filters, end-to-end encryption, and data anonymization before it reaches the AI.
4. Does using AI in the cloud increase exposure to attacks?
No, as long as the cloud infrastructure uses data encryption at rest and in transit, strict access control (IAM), and network segmentation through platforms like Autosky.
5. Can AIs read PDF files and spreadsheets sent by the company?
Yes, multimodal models process entire files, whether structured or unstructured. Therefore, strategic files should never be submitted to public platforms.
6. What is RAG (Retrieval-Augmented Generation) and why is it safer?
RAC is an architecture where AI searches for information in an external, secure database owned by the company itself to answer a question, eliminating the need to train the global model with private data.
Technical Glossary
- Autosky: a platform specializing in migrating and managing software and infrastructure in the cloud, with a focus on cybersecurity and scalability.
- Cloud: cloud computing; decentralized computing infrastructure that serves as the basis for data storage and system execution.
- iPaaS: Integration Platform as a Service . Technology used to connect systems, unify data, and securely automate workflows, represented by Skyone Studio.
- Generative artificial intelligence: a subfield of AI focused on creating new content (texts, code, images) from patterns learned in existing databases.
- Skyone Studio: a data integration and governance platform that connects corporate ecosystems in an agile and secure way.
