Beyond the Perimeter: Securing AI for the Quantum Era

This story was originally published on HackerNoon at: https://hackernoon.com/beyond-the-perimeter-securing-ai-for-the-quantum-era. Former Mastercard and Equifax AI Lead Jeremy Samuelson reveals how to deploy production-grade and quantum-resilient AI without exposing sensitive data. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. 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. This story was written by: @viceasytiger. Learn more about this writer by checking @viceasytiger's about page, and for more stories, please visit hackernoon.com. 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.