Capital One Software makes the case for AI-ready tokenization
AI tokenization has become essential for enterprises seeking to balance data security with innovation, enabling sensitive data to be used safely in AI workloads without compromising utility or compliance.
That requirement is reshaping how data security leaders think about their role in the organization. The old model — where security teams controlled access by restricting it — is increasingly at odds with the business velocity that AI demands, according to Vincent Goveas (pictured), director of product management at Capital One Software, a division of Capital One Financial Corp.
“Historically, security teams, what they had to do is block access to ensure safety, but … in this new environment that causes a massive conflict,” Goveas said. “For instance, your data science team or marketing team, they want real-time access to drive revenue and they have to wait, for instance, 30-plus days. The shift that we are seeing is companies want to move from perimeter defense to data-centric security.”
Goveas spoke with theCUBE’s Christophe Bertrand for an exclusive interview on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI tokenization, data-centric security strategies, and making sensitive data both safe and useful at scale.
