From Security Platform Pivot to Enterprise GenAI Governance: Steven Walchek's Journey Building Liminal

The Founder’s Origin Story

Steven Walchek didn’t grow up planning to build a security platform. But entrepreneurship was in his DNA. Growing up in the Bay Area with a tech-savvy dad who built a successful company in Silicon Valley, Steven learned early that taking risks and building things was just what his family did.

Today, Steven’s living in Denver with his wife and kids—a far cry from the startup hustle stereotype. He’s been there for eight years, and he’ll tell you his family is his “why.” When he’s not building Liminal, you’ll find him coaching hockey, playing hockey himself, or hitting the trails on a dirt bike or mountain bike. That balance between ambition and family is something he’s intentional about, and it shows in how he approaches building his company.

But before Liminal, Steven and his team were building something different entirely.

The First Startup: Learning Through Failure

Steven’s first venture was an application security platform. By his own admission, it was a journey of hitting every branch on the way down. The team built something technically solid, but they struggled with product-market fit, go-to-market strategy, and the thousand other things that trip up early-stage founders.

It’s a story we hear often in the startup world: great engineers, solid technology, but something wasn’t clicking. The market wasn’t responding the way they’d hoped. The business wasn’t scaling. Customers were hard to come by.

But here’s the thing about failing in the right way—you learn. You learn what doesn’t work. You learn what customers actually care about. And if you’re paying attention, you learn what problems are actually worth solving.

Steven and his team were paying attention.

The Pivot: Seeing the Real Problem

As GenAI started reshaping the tech landscape, something became clear to Steven: regulated companies—enterprises in finance, healthcare, legal, and other compliance-heavy industries—had a massive problem.

They wanted to use AI. They needed to use AI to stay competitive. But they couldn’t just plug in ChatGPT or throw their proprietary data at the latest LLM. The regulatory environment wouldn’t allow it. The data privacy concerns were too significant. The security risks were too real.

These companies needed guardrails. They needed governance. They needed a way to enable their teams to use generative AI safely, securely, and in compliance with their regulatory requirements.

This is where Steven’s security expertise became invaluable. Instead of abandoning what they’d built, they combined their deep security tooling with a multi-modal platform designed specifically for AI governance. The result? Liminal—a central hub where regulated enterprises can manage, monitor, and control how AI is being used across their organization.

Building for Enterprise Security

What makes Liminal different from other AI governance solutions is that it wasn’t built by people who think security is an afterthought. It was built by security experts who understand that for regulated companies, security and compliance aren’t features—they’re requirements.

The platform addresses real pain points:

• Data Privacy: Regulated companies need to know where their data is going when employees use AI tools. Liminal provides visibility and control over data flows.

• Security Guardrails: Not all AI tools are created equal, and not all use cases are safe. Liminal helps enterprises define policies and enforce them consistently.

• Compliance Management: Whether you’re dealing with HIPAA, SOX, GDPR, or other regulatory frameworks, Liminal helps ensure your AI usage stays compliant.

• Multi-Modal Governance: GenAI comes in many forms—LLMs, image generation, code completion, and more. Liminal’s platform handles governance across the full spectrum.

This isn’t a product built in a vacuum. It’s a product built by someone who’s been in the trenches, who understands the technical challenges, and who knows what enterprise customers actually need.

The Founder’s Perspective

What’s refreshing about Steven’s approach is his honesty about the journey. He’s not pretending that his first venture was a grand success that led to Liminal. He’s honest about the struggles, the pivots, and the lessons learned.

That kind of transparency is valuable for other technical founders. It’s a reminder that the path to a successful startup isn’t always linear. Sometimes you build something that doesn’t work. Sometimes you pivot. Sometimes you fail spectacularly. And that’s okay—as long as you’re learning and iterating toward something that actually solves a real problem.

Steven’s also someone who’s thought intentionally about what matters in life. He’s built a successful career while maintaining strong family ties, staying active in hobbies he loves, and building a company that solves meaningful problems. That balance is harder to achieve than it sounds, especially in the startup world.

Why This Matters Now

The timing for Liminal couldn’t be better. Enterprise adoption of GenAI is accelerating, but it’s running headfirst into regulatory reality. Companies are asking themselves: “How do we enable AI innovation while protecting data and maintaining compliance?”

That’s exactly the problem Liminal solves. And it’s a problem that’s only going to get more pressing as AI becomes more embedded in enterprise workflows.

For technical founders building in the AI space, Steven’s story is instructive. It shows how deep technical expertise, combined with an understanding of real market problems, can create genuine value. It’s not about chasing hype. It’s about solving problems that customers will pay for.

Listen to the Full Episode

Steven’s journey from failed startup to building Liminal is worth hearing in his own words. In the full episode, he dives deeper into the specific challenges of building for regulated enterprises, the technical decisions that shaped Liminal, and the lessons he learned from his first venture.

If you’re a technical founder, an engineer thinking about starting something, or just interested in how real companies navigate the intersection of AI, security, and compliance, this episode is for you.

Listen to the full episode on Code Story and hear Steven’s story directly. And if you want to learn more about Liminal, check out liminal.ai.