Build the Cyber Security Team the AI Era Needs.

Your company. The tool, the code, the AI infrastructure — all of it is yours, including the IP. We keep nothing.

No. The AI does the building. Your team directs the system, architects the solution, decides what to ship, and verifies it works. The role is conductor, not engineer. They can start from a security, IT, or development background — we teach the foundations they’re missing, including cyber security itself. They won’t learn to code. But they do need to be willing to understand what they’re directing — to think in systems and absorb technical concepts well enough to verify what the AI builds. We bring the knowledge; they bring the willingness to learn it. “No coding” doesn’t mean “no thinking.”

You should — and you should know exactly what that gets you. Andrej Karpathy, the OpenAI co-founder who coined “vibe coding,” put it best: vibe coding “raises the floor for everyone” — anyone can now prompt an AI and get working software out. That part’s real, and it’s why the question feels fair. But he draws the line right there: “you’re still responsible for your software, just as before.” A chat window raises the floor. It doesn’t raise the ceiling. What it produces is a prototype with flaws nobody can see — and in cyber security, a flaw you can’t see isn’t a bug, it’s a breach. AI-Driven Engineering is the discipline that sits on top — control, structure, validation, and architecture — that turns AI output into something you can put in production. That gap, between your staff prompting an AI and your staff directing one to ship something secure enough to trust, is the entire program. It’s also the difference between licences as a shadow-AI risk and licences as a capability.

A weekly mastermind call with their group. One-to-one mentorship sessions on their schedule. Live workshops Nathan teaches as the field evolves. Access to the Nexus library, the HAL Builder Kit, and a 24-hour expert support room when they need it. Supervised project work building toward the scoped tool. Most of the week is on their own schedule; the group calls anchor it.

A minimum of three focused hours a week per person, designed to run alongside the day job. Most successful members find more.

That’s what the Ship Guarantee is for. If your team hasn’t shipped the scoped tool by month six, the program stays open at no extra cost — active mentorship, mastermind group, and project supervision all continue — until it has. The only thing we ask is that your people keep showing up to the work.

The seat transfers. Hand it to their replacement — or anyone else on staff — and they restart the curriculum with full mentor support. Your investment follows the desk, not the person.

The capability, the tool, and the infrastructure are yours permanently. Inner Circle access — the network, workshops, and support — runs for twelve months from your start date, so the team keeps the room around them well past the build. After that, seats renew annually if you want to keep the connection live.

Cohort-level progress: milestones, build status, completion against the roadmap — in a monthly stakeholder check-in. Individual learning detail goes to the learner, not the manager. We train your staff; we don’t surveil them. Your privacy team will appreciate the distinction, and so will your people. See a sample stakeholder report (PDF) →

Yes. DPA, security questionnaire, and invoice/PO terms are handled on the scoping call. Single invoice per team; payment plans available for accepted teams. That includes reviewing the AI tooling itself — bring your security team to the call.

Your team builds in your environment, on your accounts — StationX doesn’t store your code or data, and anything you choose to share in mentorship or reviews is handled under the governance policy you set in week one. The AI tooling runs on approved business seats or your own API keys — under standard commercial and API terms, neither Anthropic nor OpenAI trains on that data — and we verify equivalent no-training terms for whichever vendor you choose. Setting those guardrails — approved tools, what may and may not leave your environment — is part of the week-one governance work, and the policy your team writes is yours to keep.

An AI coding agent per seat — Claude Code or equivalent — typically $100–200 per seat per month on Team/Enterprise seats or metered API usage, purchased through your own business account so access, billing, audit, and data terms stay under your control. That’s typically the only new core tooling cost; any build-specific infrastructure or third-party services are identified during scoping. We help you choose and configure the tooling in week one.

Your team does — that’s the point. They didn’t get handed a tool; they built it, with tests, documentation, and review gates as part of the build (that’s what production-grade means here). Maintaining and extending it is the same skill they spent six months learning — and the included Inner Circle year exists precisely for the month-nine question: they bring the patching or extension problem to a live workshop and work it through with expert guidance.

A degree teaches theory; SANS teaches specific technical skills against the field as it was. This teaches your team to direct AI to build solutions to the field as it is — and it ends with a shipped tool, not just a certificate. There’s overlap in fundamentals — we’re a complement, not a replacement, for foundational training. Where this is different: nobody else combines AI-Driven Engineering, a company AI infrastructure modelled on a production system, one-to-one mentorship, the Inner Circle, and a Ship Guarantee in one program.

It’s a fit call, both directions. We’re assessing whether your team is ready for six months of focused work and whether the program fits what you need shipped. You’re assessing whether we’re the right people to get them there. Some companies we turn away; some companies turn us away. That’s how a cohort stays serious.

Yes — until the program begins. If you change your mind between agreement and your team’s start date, you’re refunded in full. Once the program is underway, the Ship Guarantee takes over: if the tool hasn’t shipped by month six, the program stays open at no extra cost until it has. We don’t cut your team loose at a date. That’s a stronger commitment than a money-back guarantee — and it’s the right one for what this is.