Tuesday, May 13, 2025 - 8AM PT | 11AM ET | 5PM CET
The rules for building connected devices are tightening. Governments around the world are rolling out new IoT security regulations, including the EU’s Cyber Resilience Act (CRA) and the voluntary Cyber Trust Mark in the US. Although the approaches are different, the objective is the same. Make devices safer. But they bring with them a whole set of new challenges for product and engineering teams.
If your products don’t comply, you could face fines, delays, and reputational damage. The good news? Teams that adapt quickly can turn these new rules into an opportunity to build better, more trusted products.
In this podcast, experts from Memfault and Exein break down the key changes and what they mean for product leaders and engineers.
This episode covers everything you need to know, including:
This session is designed for:
With regulations like the Cyber Resilience Act raising the bar for IoT security, companies that adapt quickly will avoid penalties and gain a competitive edge. This discussion will help you understand what’s changing and give you the tools to prepare.
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⬇ Scroll down to meet the speakers ⬇
François Baldassari
François Baldassari is the CEO and Co-Founder of Memfault. An embedded software engineer by trade, François was driven to start Memfault by his passion for tooling and automation in software engineering. Prior to Memfault, he ran the firmware team at Oculus and built the operating system at Pebble. François has a BSc in Electrical Engineering from Brown.
Thomas Sarlandie
Thomas Sarlandie is the Field CTO and embedded Linux expert at Memfault with a passion for leveraging customer experiences to drive product innovation and quality. Thomas previously worked at Fitbit and Pebble as a VP and Director of Software Engineering. Thomas has an MSc in Software Engineering from EPITA, Paris.
Giovanni Alberto Falcione
Giovanni Alberto Falcione is the CTO at Exein, where he leads the development of advanced security solutions for embedded and connected devices. With a background in theoretical physics and machine learning, Giovanni previously founded an AI energy startup (Twenty Watts) and worked as a machine learning consultant. He holds a BSc in Physics from King’s College London and an MSc in Machine Learning from UCL jointly awarded by the Gatsby Computational Neuroscience Unit and DeepMind.
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