Presidio is betting on a hybrid AI world to help organizations cut down on token costs, according to Chris Cagnazzi, the company’s chief innovation officer.
Flexibility and control define the company’s strategy. Presidio believes the future of artificial intelligence will remain hybrid, mixing on-premises and cloud solutions. This approach gives businesses flexibility with model choices. Cagnazzi noted that hybrid setups allow for the efficient use of tokens. It also keeps data closer to private control, which many companies prioritize.
“Hybrid AI really gives you flexibility of model independence,” Cagnazzi said. “Everybody’s talking about token costs, token economics—we think [hybrid] gives you this efficient use of tokens.”
The strategy builds on the company’s history of managing hybrid environments. Presidio helped clients reduce cloud costs during the initial shift to cloud infrastructure years ago. Now, the company sees a similar pattern emerging with the current AI surge.
Security and Visibility
Security remains a primary focus for Presidio’s clients. The company identifies three main areas of concern. First is guardrails and control points, which govern what data flows into and out of models. Second is prompt security, ensuring users do not expose sensitive information. Third is “agentic identity,” which secures automated agents acting on system credentials.
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Visibility is another critical component. Cagnazzi explained that customers often struggle to understand where their money goes. Presidio is developing tools to track token consumption across different platforms, whether they are commercial tools like OpenAI or internal systems.
“Think of it as sometimes the best use cases are the ones that come from internal transformation,” Cagnazzi said. “We built what we call AI Studio. It’s an agentic AI platform and it runs internally.” Presidio applies this same logic to its customer road maps.
Cagnazzi highlighted that the organization is also leveraging its past experience to address the challenge of model cost and visibility. Back in 2017 and 2018, Presidio rolled out a cloud costing platform named PRISM. The company is now taking a similar approach to the current AI surge. Presidio is building a visibility platform that captures cost data regardless of the specific tool being used, such as Claude, ChatGPT, or internal on-premises solutions.
This tool allows the company to track consumption by user and understand the nature of the requests being made. The data helps determine if users are repeating simple tasks or engaging in complex problem-solving. By gathering this information, Presidio aims to provide actionable insights rather than just raw data. The company is currently piloting these capabilities with key enterprise clients.
Looking ahead, Presidio plans to develop a centralized platform that functions as a pane of glass. This system would match the best model to service a specific request, further optimizing the use of tokens and managing the overall spend.
