Machine Learning Tech Brief By HackerNoon

Beyond the Perimeter: Securing AI for the Quantum Era


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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.

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