Berk Yilmaz

I think we're at real inflation point.

Right now, the way regulated software gets built is basically you write the code, then bolt on a compliance at the end.

You write the software, then you spend months assembling authority to operate package, your system security plans, your security assessment reports, your SPOM, your checklist files, and the list goes on.

And it's all manual and it's very painful.

And it's basically disconnected from the actual development cycle.

What AI-native environments make it possible is flipping that entirely.

Compliance becomes a byproduct of the development process, and it's not a separate work stream anymore.

When Sentinel translates the code, the audit bundle, every prompt, every model response, basically every test and every proof,

we generate automatically.

So when you scan for vulnerabilities, the findings map directly to NST controls, STI, FedRAMP baselines, and the AOT packages in something you assemble after the fact, it's something that platform produces as you work.

Over the next five years, I think the organizations that adopt this model, where security, verification, and compliance are built in the developer's daily workflow, rather than they're layered on top, are going to be moved more dramatically faster than the other ones that do not use these.

And the gap is going to be visible in the procurement timelines, in the time to AATO, and how fast you can modernize legacy systems and actually get into the production.

And where does this Nolabs lead?

We're building the platform that runs entirely customer's hardware behind the security boundary with no data leaving the building.

And that's not a feature, actually.

That's an orchestration decision that most of our competitors structurally cannot make it because they are cloud first.

And we made it on day one.

And the government and the defense community ask for a tool that feeds their constraints as a features, not limitations.

And we're just the ones who are building it.