The pattern repeats.
Every decade of computing infrastructure follows the same arc. First comes the capability. Then adoption. Then the breach. And finally - only after the cost becomes unbearable - comes the security layer.
Network security came in the 2000s. Cloud security in the 2010s. The pattern is predictable. The timing never is.
In the 2020s, it's AI.
The capability exists. Adoption is exploding. And the gap between what's possible and what's governed grows wider every day.
The primitives that won't change.
We asked ourselves: what parts of AI won't change next year? What won't change when the next model drops, when the next wrapper launches, when agents become autonomous?
The answer: network connections, files, system processes.
These are the primitives. Everything else - the apps, the interfaces, the wrappers - is shifting sand. Tools that depend on each app cooperating end up maintaining a museum of brittle integrations.
We build at the system boundary. Where the data actually flows. Where visibility doesn't depend on what's popular this quarter.
AI is becoming ambient.
AI is no longer a tool you open. It's everywhere, in everything. The browser. The terminal. The IDE. The email client. The distinction between "using AI" and "working" is collapsing.
This isn't a problem to solve. It's a reality to navigate.
And navigating it requires seeing it.
Most companies today govern AI with a policy and a prayer. They tell employees what not to do, then hope for the best. The honest answer to "are we governing this?" is silence.
You can't secure what you can't see. Visibility first. Governance follows. Security emerges.
The layer that makes AI legible.
We're building the infrastructure that sits beneath AI - observing network connections, understanding traffic, making the invisible visible.
Not walls. Windows.
Today, that means understanding what AI tools your people are using, what data is flowing where, what's sanctioned and what's shadow. Tomorrow, it means governance. Policy enforcement. The control plane for every AI interaction - whether it's an employee asking ChatGPT a question, an agent executing code, or an AI system calling another AI system.
When AI is everywhere, Oximy is the layer that makes it legible.
We build at the primitives because we believe in what endures. We start with visibility because that's what's missing. The platform position is open.
We intend to take it.