Google Introduces VaultGemma — AI That Doesn’t Store Your Data

According to Ars Technica, VaultGemma is the world’s first language model trained from scratch with privacy in mind. This means it does not remember users’ personal data and cannot accidentally reveal it.

The model is based on the Gemma 2 architecture but with a key difference: it integrates differential privacy, a mathematical technique that adds “noise” to data, making it impossible to reconstruct the original information.

VaultGemma contains 1 billion parameters and can perform complex tasks like other models, but without compromising confidentiality. It does not retain the texts it was trained on, even if explicitly prompted.

Google emphasizes that the model is suitable for industries with strict security requirements — such as healthcare, finance, and government services. This is especially important as AI is increasingly applied in sensitive fields.

Unlike commercial models, VaultGemma is fully open-source: its code and parameters are available on Hugging Face and Kaggle, allowing developers to use it without data risks.

The model was trained from scratch using specially designed protocols that enable the use of large datasets without sacrificing privacy. This makes it both resilient and efficient.

In testing, VaultGemma achieved results comparable to conventional AI models but recorded zero cases of training data leakage.

Google also introduced so-called “privacy scaling laws” — formulas to balance performance, computation costs, and protection levels.

According to Google Research and DeepMind, VaultGemma is not just a product but an attempt to set a new standard: AI should be powerful yet safe. And this is possible today.

With open access and built-in safeguards, VaultGemma could become a foundation for ethical AI across multiple sectors, Google believes.