Enterprises striving to deploy AI agents in production are increasingly discovering that tokenization and other data protection strategies play a crucial role in accelerating these initiatives.
The challenge, however, lies in managing sensitive data inputs for models, which are difficult to retract once integrated. Existing security protocols that were designed for slower processes are now impeding deployment speeds. The focus is shifting from merely securing data to ensuring it remains usable even after protection. This evolving dynamic is evident within Cloudera Inc.’s partner ecosystem. According to Diego Loureda, Vice President of Customer Success and Presales at Protegrity USA Inc., security is increasingly an enabler of AI value rather than a final hurdle.
“Data leaks remain a critical issue. Once sensitive data is embedded in a model, stored in a vector database, or held in the memory of an agent that interacts with others, extracting that sensitive data becomes virtually impossible,” Loureda remarked. “There’s no reliable method for accomplishing that.”
Loureda highlighted these points during an exclusive interview with Rebecca Knight and Paul Gillin on Cloudera EVOLVE26 at theCUBE, SiliconANGLE Media’s livestreaming platform. They discussed data security and recognized Protegrity as Cloudera’s Emerging Technology Partner of the Year. (* Disclosure below.)
Tokenization: Ensuring Usability of Protected Data for AI
Traditional encryption methods can restrict data accessibility to the extent that analysts and models are unable to utilize it. Protegrity’s approach focuses on tokenization, which replaces sensitive values with non-sensitive substitutes rather than depending on complex encryption algorithms, as explained by Loureda. This method also positions Protegrity advantageously against future quantum computing threats to conventional cryptography.
“Tokenization, our primary protection mechanism, is inherently quantum-ready,” Loureda clarified. “This is due to the absence of a mathematical algorithm; it operates purely on value replacement in memory.”
Nevertheless, protection alone does not eliminate the issues related to project speed. Research commissioned by Protegrity from Enterprise Management Associates Inc. revealed that 83% of technology leaders reported experiencing project delays. Loureda emphasized the importance of governance, stating, “Companies are currently approving individual projects, a practice that is not sustainable in the age of AI. They need to adopt a pattern-based approval system.”
The same research indicated that 82% of leaders deploy AI agents with limited capabilities, often stripped of the necessary tools and data that could enhance their functionality. Loureda indicated that security controls like tokenization could enable security teams to facilitate the deployment of these agents.
“Historically, the security department was viewed as the ‘department of no,’” he stated. “That perspective is changing. Today, security is positioned as the team that can unlock AI’s potential and deliver tangible value.”
Watch the complete video interview, which is part of SiliconANGLE’s and theCUBE’s coverage of Cloudera EVOLVE26:
(* Disclosure: TheCUBE is a paid media partner for the EVOLVE26 2026 event. Neither Cloudera, the sponsor of theCUBE’s coverage, nor any other sponsors exert editorial control over the content on theCUBE or SiliconANGLE.)