25 au 27 février, 2026
Montréal, Canada
Full Stack AI Security
When it comes to securing AI, protecting the model is often a tiny piece of the puzzle, if not a distraction from the real risks.
This session presents a full-stack security approach for your entire AI pipeline. We'll cover everything from initial threat modeling and data handling policies to the practical details of protecting your cloud infrastructure, APIs, and keys. Learn to secure AI end-to-end.
This session presents a full-stack security approach for your entire AI pipeline. We'll cover everything from initial threat modeling and data handling policies to the practical details of protecting your cloud infrastructure, APIs, and keys. Learn to secure AI end-to-end.
Jonathan Marcil
JM International
Jonathan is an Application Security Consultant that has published on the topic of threat modeling and is involved in NorthSec, a security event in Montreal. He is passionate about Application Security and enjoys architecture analysis, code review, cloud security and debunking security tools. Jonathan holds a bachelor's degree in Software Engineering from ETS Montreal and has 20 years of experience in Information Technology and Security.
