Archived snapshot: Dashlane · Is It Training on Me?

← Dashlane · AI Addendum

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Summary

Dashlane integrates AI across its product and internal operations under a consistent set of principles: AI must respect our zero-knowledge architecture and our privacy standards. This means user data is never used to train models and inference runs in a privacy-preserving way.

10.1 Our approach to AI

Dashlane has used machine learning in its product for years, starting with autofill. The scope has expanded, but the constraints have not changed: AI features must respect Dashlane's zero-knowledge architecture, and user data must never be used to train or fine-tune AI models.

We leverage two categories of AI, which operate under different rules:

On-device AI runs entirely within the user's browser or device. No data is transmitted to Dashlane servers or third-party AI providers for inference. AI Phishing Alerts and the autofill engine both fall into this category. Our proprietary AI models are distributed as part of the extension-the data never leaves the device.

Cloud-based AI leverages large language models running inside Dashlane's confidential computing environment (on AWS EC2 Attested instances). This allows AI to process sensitive data while preserving zero-knowledge guarantees.

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