Yonatan Arbel
Developer Advocate @ JFrog
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a software developer with rich experience spanning over 12 years. For the past 7.5 years, I have been a valuable member of the JFrog team, a prominent tech company. Over the years, I progressed through the organization and eventually found my place within the Infrastructure group.
I have a genuine passion for technology, which has been a guiding force throughout my 12-year career. My work at JFrog has included significant contributions to the development of the JFrog Platform.
My journey is a testament to my dedication and the opportunities that the tech industry offers to those who are eager to learn and grow. As a speaker, I am excited to share my experiences and insights with others in the tech community.
Area of Expertise
Topics
Elevating Innovation: GitHub & JFrog Paving the Way Forward
What happens when the leaders in code management and GenAI join forces with the binary management and software supply chain security experts? Join us to discover game-changing advances in the world’s top DevOps and DevSecOps platforms and how together, JFrog and GitHub are creating tectonic shifts in the development landscape.
Oops, Did That Just Leak? Keeping Secrets Out of Your Videos
We all make videos—demos, tutorials, or just cool content to share. But what if your video accidentally leaks something sensitive, like an API key or a secret? Yup, it happens more often than you'd think.
In this session, I’ll share the story of stumbling across a leaked Hugging Face key in a random online video (spoiler: it was still valid 🤯). That “Oh no!” moment led me to build an open-source tool to ensure no secrets sneak into your videos. Let’s geek out over how to keep your content secure and avoid those facepalm moments!
Instilling Trust in Your MLOps Process
By 2027, Gartner predicts 90% of new applications will contain machine learning [ML] models. However, the MLOps space is fragmented, lacking appropriate standards and not often managed with new and coming compliance requirements in mind. In our session, we will delve into the security part of ML Models and the way we should store and govern our models and data sets
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