Security and compliance

Security, privacy, and governance as the foundation of trust.

Proprietary technology and a Humans + AI operation under rigorous protection, so your company can adopt AI with confidence.

Security specialist reviewing the compliance dashboard

Your data is never used to train AI.

Your content, your strategies, and your business information are yours. Full stop. We never feed our clients' data into AI models for training. This commitment isn't an internal guideline we could quietly change in a release note. It's a contractual clause on Manycontent's side, and it carries through as a bilateral clause in our contracts with model providers (OpenAI, Anthropic, Google, Meta, and others). If the whole chain doesn't honor the same promise, the promise means nothing. That's why the rule holds from the client's signature all the way to the hyperscaler running the model.

Image: Your data is never used to train AI.

Compliance with LGPD and GDPR.

The operation runs in compliance with LGPD in Brazil and GDPR in Europe, respecting data subject rights in every market we serve. In practice, that means three concrete things. Data generated in a Brazilian operation stays in Brazil and is handled under LGPD principles. Data generated in a European operation stays in the European Union and follows GDPR, including the right to access, correct, and delete personal data. A multi-region enterprise client can run operations across distinct jurisdictions without data crossing borders improperly: the architecture knows where each piece of data was created and where it stays.

Image: Compliance with LGPD and GDPR.

How we protect your information.

Advanced encryption in transit and at rest.
Protection for business and strategic information.
Access controls and data governance.
Image: How we protect your information.

Governance with major AI providers.

We hold strict contracts with the major AI providers, ensuring the technology's use honors the same privacy commitments we've made to you. Every provider in our chain (model vendors, the hosting hyperscaler, data integrations) goes through contract review, security assessment, and ongoing monitoring. Your operation's environment is never used as an internal benchmark, as fine-tuning data, or as a sample for any provider's product. If a provider changes terms or fails a review, it's removed from the chain. Enterprise clients receive a copy of the due diligence package to run their own internal audit.

Image: Governance with major AI providers.

Frequently asked questions.