AI Remembers Everything: The Sovereignty Dilemma
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When a model learns your secrets, it never forgets.
In this episode, Nick sits down with Tom Gillis from Cisco to explore one of the most pressing challenges of the AI era: data sovereignty. As AI models absorb sensitive information and operational data at unprecedented scale, organizations are facing a new reality: once that knowledge is embedded, it can’t simply be erased.
Tom unpacks how Cisco is reimagining the data center for this new world from GPU-driven architectures and co-packaged optics to federated analytics that bring computation to the data instead of the other way around. Together, they discuss the return of on-prem infrastructure, the risks of IP leakage in model training, and why protecting data sovereignty may be the defining trust challenge of enterprise AI.
New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!