Governing AI Isn't Optional Anymore—and the Fix Starts at the Infrastructure Layer

You.com CTO Saahil Jain joined Credo AI CEO Navrina Singh and Axios reporter Ashley Gold at HumanX last week to talk AI governance, enterprise trust, and the agentic shift.

Just a few years ago, the first question enterprises asked was: "What's your latency?" Today it's: "Where does that answer come from, can I trace it, and will it hold up under audit?"

That change tells you a lot about where AI governance actually stands right now.

The Shift That Explains Everything

"The majority of searches in the future will not be by humans—they'll be by AI agents," Saahil said during HumanX. 

You.com has built around that conviction, offering search APIs purpose-built for AI that now process over a billion queries a month for customers. 

But the agent paradigm isn't just a product opportunity. It's a governance challenge.

Why Agents Change the Stakes

When humans use search, they read the results and apply judgment. Agents don't. They take in context and act on it—at scale, with confidence—and they don't self-correct when the underlying data is wrong or stale. The error just propagates.

"Hallucinations aren't a model problem. They're a data problem. If you want trustworthy AI, you have to start with trustworthy information retrieval."

This is the core of the You.com infrastructure philosophy. Citations aren't a UX feature—they're how enterprises audit AI outputs. Zero data retention isn't marketing—for regulated industries in finance, healthcare, and legal, it's a hard requirement. And configurability—letting agents set freshness, corpus depth, and content scope precisely—is how enterprises define the boundaries of what their AI can access.

Two Classes of Companies

During the panel, Saahil drew a distinction between intelligence companies (foundation model providers) and augmented intelligence companies, the tools and services that make those models more grounded and useful. You.com is firmly in the second camp. 

"We're model-agnostic by design. Our job is to make any LLM smarter and more grounded—not to win the model wars."

As foundation models commoditize, the quality of the data layer becomes the differentiator. 

Watch the full panel here.