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SJ_MountainGrid
The Enterprise AI Training & Capability Platform

Secure code for your developers.

AI mastery for everyone else.

One platform, two jobs: developers who ship secure code at AI speed, and a workforce that uses AI better and safer. With the visibility to prove both.
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Two solutions · One platform

Everything your organization needs to master AI — safely.

Secure development · ten years deep

Secure Code Training

OWASP-deep, hands-on training built from what we know about your code, your tools and your learners. For a world where AI writes half the code and untrained eyes review it.

For AppSec & engineering leaders
Explore Secure Code Training →
AI enablement · every employee

AI Advantage

Role-based training that moves your whole workforce beyond basic prompting. Safer habits, real capability, and dashboards that prove it.

For AI, enablement & L&D leaders
Explore AI Advantage →
WHY SECURITY JOURNEY

We taught developers to write secure code. Tens of thousands of them.

Not just knowledge — habits, behavior, measurable progress.

Then developers started building with AI. So, we taught them to do that securely, too.

Now AI is in everyone's hands. And the same approach applies: training that builds real capability people can practice, trust and prove.

See Why Security Journey
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What changed

AI didn't just change how code gets written. It changed who writes it.

Columns found: 2
In your codebase
01

AI writes half the code now

Generated faster than your best reviewers can judge it. Volume the old training model never anticipated.

02

Good process, untrained eyes

Insecure AI code passes a good review when the people at each step can't recognize what bad looks like.

03

Annual training can't keep up

OWASP awareness from last year's course doesn't cover the code your assistant generated this morning.

Across the rest of the company
01

You can't see who's actually good at it

Dashboards show logins and tokens. Nobody can show the board what all that spend changed.

02

Usage is broad, but shallow

Everyone drafts and summarizes. Almost nobody redesigns how the work itself gets done.

03

Risk is compounding quietly

Pasted data and unknowing policy violations, from people who were never trained to catch them.

The difference

The difference isn't the AI. It's the operator.

Your competitors have the same models, the same copilots, the same licenses. The gap is in how people use them — in code and everywhere else. And that's trainable.
How most people use AI
What we train
✕ One-shot prompts
✓ Context loaded before the ask
✕ Accept the first answer
✓ Critique loops until it holds up
✕ Paste anything in
✓ Prompt hygiene and data boundaries
✕ Ship what it generates
✓ Verification — and knowing what insecure looks like
Same techniques, taught two ways — in the IDE for developers, in the workflow for everyone else
Why the usual fixes fail

You've probably tried the usual fixes.

Tool licenses× Generic AI training× Policy PDFs× Annual compliance modules×
✓

Role-based training that sticks.

Tied to real work, taught in the moment, measured until behavior changes.

Tied to real work A developer sees their own scanner findings. An analyst sees their own workflow.
Taught in the moment Guidance arrives in the pull request and in the tool, not in a course catalog.
Measured until it changes Baseline on day one, the same signals tracked as people train.
How it works

Organization-wide mastery you can manage.

One platform that sees where your people are, trains them for the work they actually do, and proves the change happened — for developers and for everyone else, on one screen.
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01 · Visibility

See it

A live map of capability across every team. Who's mastering it, who's stuck at basic use, and where risk is forming.
Answers: "is any of this working?"
Security Journey Break/Fix
02 · Enablement

Build it

Role-based paths that teach operator technique — context loading, critique loops, prompt hygiene — on the tools you've approved.
Answers: "how do we get everyone there?"
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03 · Proof

Prove it

Audit-ready evidence that training happened, behavior changed, and policy is followed. From OWASP to GDPR to your own AI rules.
Answers: "can we defend this to the board?"

Works with the AI you already bought

We don't sell you another model. We make the ones you have pay off.

ChatGPT Enterprise M365 Copilot Claude Gemini GitHub Copilot Claude Code Cursor Codex
Two solutions, one platform

Take one. Or take both.

Secure development · developers

Secure Code Training

Developers who ship AI-speed code that's safe to ship.

  • —Secure coding & AI-assisted development
  • —Recognizing insecure AI-generated code
  • —OWASP risk awareness in context
  • —Challenges, CTFs, tournaments
Featuring Aspen

Aspen is Security Journey's native AI capability. It reads your GitHub and GitLab telemetry to build lesson paths automatically, then gives learners and admins the insight to prove they worked.

Explore Secure Code Training →
AI enablement · every employee

AI Advantage

Every employee starts thinking in AI, not just typing into it.

  • —Prompting as structured thinking
  • —AI as a workflow multiplier
  • —Output handling, drift & responsible use
  • —Grows into role tracks, champions & certification
Includes AI Access · 7 paths · 28 lessons

Secure building for citizen developers: private repos, scoped tokens, branch/diff/PR discipline, rollbacks.

Explore AI Advantage →
Who it's for

Whoever owns the rollout, we make them the hero.

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Security leaders

“I need AI adoption to stop being my biggest blind spot.”

  • See risky use before it becomes an incident

  • Policy that shows up in the moment of work

  • Audit-ready evidence of safer practice
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Enablement & L&D

“I need training people actually use. And proof it changed anything.”

  • Role-based paths, not generic courses

  • Completion tied to capability, not checkboxes

  • Champions and certification track
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Engineering leaders

“I need AI-speed shipping without AI-speed incidents.”

  • Developers who recognize insecure AI code

  • Citizen builders with source-control discipline

  • Guidance driven by your real scanner findings

security journey case study

HackerOne Transforms Secure Coding Training Into a Developer‑Led Culture

HackerOne is built on security — which meant its internal expectations for secure coding education were higher than simple compliance. Although the company had a training program in place, engagement lagged. Developers completed modules, but learning felt disconnected from real engineering work.
Read the Case Study →

"By partnering with Security Journey, HackerOne reframed training from a requirement into a visible, energizing part of engineering culture. The result: stronger participation, renewed curiosity, and a program that now scales across ~100 engineers."

MH
Martzen Haagsma Security Engineer, Hacker One
Questions we always get

Before you ask.

Are you moving away from secure code training?

No. Secure Code Training is the foundation that Security Journey was built on and it keeps getting deeper — AI-generated code review, Aspen Guardian AI, scanner-driven paths. AI Advantage is an addition for the rest of the company, not a replacement.

We already rolled out Copilot training. How is this different?

Tool training teaches buttons. We train the operator to efficiently and securely use AI: context loading, critique loops, prompt hygiene, verification. Techniques that transfer across every tool you buy next. And we measure whether behavior actually changed.

Our people are too busy for another training program.

The all-employee foundation is under 90 minutes, broken into lessons that fit between meetings. Everything after that is role-based. People only see what applies to their actual work.

How do you measure something as soft as "capability"?

Baseline on day one: usage depth, verification habits, policy awareness, risk signals. Then we track the same signals as people train. You see movement. Or you see where to intervene.

Does this cover our compliance requirements?

Compliance is woven into the training itself. OWASP, GDPR, ISO 27001, PCI-DSS, and your own AI policy, taught in the context of each role's work. Reporting is built to hand to an auditor.