{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"Beyond the Perimeter: Securing AI for the Quantum Era","html":"","width":"100%","height":180,"duration":842,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/beyond-the-perimeter-securing-ai-for-the-quantum-era.\n Former Mastercard and Equifax AI Lead Jeremy Samuelson reveals how to deploy production-grade and quantum-resilient AI without exposing sensitive data. \n Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n You can also check exclusive content about #machine-learning, #machine-learning-research, #quantum-computing, #ai-and-quantum-computing, #founder-interview, #ai-security, #ml-security, #privacy-preserving-ai, and more.\n \n \n This story was written by: @viceasytiger. Learn more about this writer by checking @viceasytiger's about page,\n and for more stories, please visit hackernoon.com.\n \n \n \n Most AI systems don’t fail because the models are bad — they fail because the systems around them are fragile, insecure, and poorly governed. In this interview, Jeremy Samuelson, EVP of AI & Innovation at Integrated Quantum Technologies, explains why the real ceiling of applied AI is set by architecture and data movement, not model accuracy. He also introduces VEIL, a new security architecture that removes sensitive data from the ML pipeline entirely, making AI systems breach-resilient and inherently quantum-safe by design.\n \n ","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}