Zero Data Retention: How AI Truly Protects Your Corporate Data

Every day, your teams send dozens of requests to AI tools: rewriting a contract, analyzing a financial report, preparing for a business negotiation. Some of this data is highly confidential. But do you really know what happens to this information once it’s sent?

This is the very question that CFOs, HR directors, and legal teams across French companies are asking today. And this is where a little-known but critical concept comes into play: Zero Data Retention (ZDR).

In this article, we’ll explain what Zero Data Retention actually is, how it works technically (without the jargon), why not all AI solutions implement it the same way, and how Elosia has made it a default standard.

Why AI Data Confidentiality Has Become a Strategic Issue

The adoption of AI in businesses has accelerated at a pace few executives anticipated. According to a 2025 Google Cloud study, over 50% of companies now have AI agents in production. Tools like ChatGPT, Claude, and Gemini are used daily by employees who often don’t stop to consider what providers do with their data.

Yet, regulation has caught up with usage. In February 2025, the French data protection authority (CNIL) published new guidelines for AI use under the GDPR, reaffirming the principle of data minimization: collect and process only what is strictly necessary. In this context, sending sensitive data to an AI model with unclear retention policies exposes companies to real legal, reputational, and competitive risks.

The question is no longer “Is AI useful?” it undeniably is. The question is: Under what conditions can we use it without endangering our company’s strategic information?

Zero Data Retention (ZDR): What Does It Really Mean?

Zero Data Retention (ZDR) is a contractual guarantee that an AI infrastructure provider commits to never storing your data not your questions, not the generated responses, nor any context you provide.

In practice: Your message is processed in RAM, a response is generated, and everything is deleted. Nothing is written to disk. Nothing is retained. Nothing can be used to train a model or accessed later.

This is a direct application of the GDPR’s data minimization principle and a concrete response to legitimate concerns about AI data confidentiality.

Don’t confuse this with: “We don’t train on your data.” This common promise from AI providers doesn’t mean your data isn’t stored. A provider might retain your requests for 30 days for moderation or debugging without using them for training. ZDR goes further: No retention, period.

How Does ZDR Work Technically? The Netflix Analogy

To understand ZDR without diving into technical details, here’s a simple analogy.

Think of Netflix. Netflix produces movies and series, but when you watch content, it isn’t streamed directly from Netflix’s servers. Instead, it’s delivered through AWS or a content delivery network (CDN). Netflix (the producer) is never in the delivery loop. What matters to you is the quality of the stream and the security of your viewing data not which data center hosts the file.

ZDR in AI works the exact same way.

The Traditional Model (Without ZDR)

Your message → AI provider’s API → Model processes → Response

In this setup, your request goes directly to the model creator’s servers (Anthropic, OpenAI, etc.). These companies host the model on their own infrastructure, with their own retention policies. They can technically log and store your requests, even if they claim not to use them for training. Contractual guarantees of non-retention aren’t always enforceable.

The ZDR Model via Amazon Bedrock, Google Vertex AI, DeepInfra, etc.

Your message → AWS (Bedrock) or Google (Vertex AI) infrastructure → Model processes → Response

Here, the process changes radically. Anthropic (for example) provides the model weights, the files that define its capabilities to AWS, Google, etc., via licensing agreements. AWS and Google then deploy these weights on their own infrastructure. The model runs on AWS or Google Cloud GPUs, not on Anthropic’s servers.

What this means in practice:

Your data never passes through Anthropic this is the key difference.
AWS and Google have contractual commitments to non-retention: prompts and responses are processed in memory and deleted immediately.
It’s the same model (same weights, same capabilities), just hosted on a third-party, certified infrastructure.
Amazon Bedrock is certified ISO, SOC, HIPAA, and GDPR-compliant.
Google Vertex AI contractually commits to not using your data for training without your explicit consent.

Anthropic is compensated via a licensing agreement, not through the API. They have no access to your data and no visibility into your requests.

Why Anthropic’s Direct API Isn’t ZDR

Anthropic hasn’t certified its direct API to the same non-retention standards required for a strict ZDR label. This doesn’t necessarily mean they store your data, but they don’t provide the formal contractual guarantee that Bedrock or Vertex AI offer. In a GDPR compliance context, this contractual guarantee is what matters.

How Elosia Implements ZDR: Strict by Default, No Compromises

At Elosia, we’ve made Zero Data Retention the standard not an option.

Over 90% of the models available on Elosia are accessible in ZDR mode. This means that when you use Claude, Gemini, Llama, or other models via our platform, your data is processed exclusively on ZDR-certified infrastructures and never transits through the model creators’ servers unless they are ZDR-certified.

But we go further. Elosia enforces a strict rule: If a model is labeled ZDR but the available provider isn’t, the platform automatically switches to another ZDR provider. No silent degradation of confidentiality. No compromises without your knowledge.

In practice, this means you don’t have to worry. Your teams use AI, and your data remains protected by default automatically, contractually.

You can explore the full list of available models and their ZDR status on the Elosia Models page.

What ZDR Changes for Your Business

Beyond the technical details, Zero Data Retention has direct implications for how you can and should use AI in your organization.

For the CFO: Financial data, budget forecasts, due diligence materials submitted to an AI tool are not stored, cannot be leaked, and will never be used to train a competitor’s model. The guarantee is contractual, not just rhetorical.

For the HR Director: HR data is among the most sensitive under GDPR. Using a non-ZDR AI tool to draft performance reviews, analyze job applications, or prepare interviews exposes your company to real compliance risks. With ZDR, this data never leaves your security perimeter.

For the Legal Team: ZDR is a concrete response to the GDPR’s data minimization requirement, as reaffirmed by the CNIL in its February 2025 guidelines. It allows you to document a robust compliance approach in the event of an audit.

For the CIO: ZDR leverages the most robust infrastructures on the market (AWS, Google Cloud), with top-tier security certifications (ISO 27001, SOC 2, HIPAA, GDPR). There’s no need to build a sovereign infrastructure from scratch.

ZDR + Local Storage: Elosia’s Dual Protection

ZDR ensures your data isn’t retained by AI model providers. But what about data stored on the platform itself?

Elosia goes beyond ZDR alone. All your conversations, documents, and history are stored locally, on your workstation. No document ever leaves your environment to be hosted on an external server. It’s the combination of:

ZDR for models,
Local storage for the platform,

that provides the most comprehensive protection available today for companies looking to adopt AI without compromising confidentiality.

Conclusion: ZDR as a Non-Negotiable Selection Criterion

The question is no longer whether your company should adopt AI, but how to ensure this adoption doesn’t come at the expense of your strategic data’s confidentiality.

Zero Data Retention is now the most demanding contractual standard for data protection in AI usage. It’s not a marketing promise it’s a formal, legally binding commitment from the world’s leading cloud infrastructures.

Elosia has chosen to make it the default mode, so you can focus on what truly matters: leveraging AI with confidence.

Explore the available models on Elosia and their ZDR status → elosia.ai/models.