Frédéric Rivain

Everyone is racing to plug AI into their workflows. But what happens when your product is built on a promise to never see user data in the first place? As CTO of a zero knowledge product, Frederic Rivain has to reconcile two strong forces: teams who want to use AI everywhere, and an architecture that is designed to reveal nothing.
In this talk, Frederic unpacks how Dashlane uses AI internally in a secure and responsible way, and how they choose and integrate AI into the product while keeping their zero knowledge model intact. He will share the trade offs, the architectural patterns, and the guardrails that let teams experiment with AI without weakening the trust the product is built on.
Challenges:

• Leveraging AI internally when sensitive customer and company data must remain encrypted or out of scope
• Choosing AI providers and architectures that align with strict privacy, security and compliance requirements, not just convenience
• Embedding AI into critical user journeys without breaking the zero knowledge promise or eroding customer trust
  Key Learnings:
• How to design AI use cases around a zero knowledge mindset, including what to avoid, what to transform, and where AI genuinely adds value
• Practical patterns for using AI internally while protecting data, from governance and access controls to what you never put in a prompt
• A decision framework for selecting and integrating AI partners in high trust products so that privacy and security stay first class, not an afterthought

While often tackled separately, security and privacy are two sides of the same coin and offer external implications for the company and internal complexities which leaves it as one of the biggest challenges facing tech teams today. Frederic will give key insights on how Dashlane think as an organization about privacy and how internal decisions have translated to how it is delivered to the customer. Federic will provide scenarios on how privacy and security are reflected in the technical stack.

In this session Frederic will look at how to manage feature-flipping and A/B Testing when shipping on multiple platforms. How to manage synchronization and coordination with product marketing and as part of it, explain how Dashlane are organized with a dual track approach to support feature team delivery and platform/production maintenance in parallel.