An admin gives a seat.
Only the developers you choose take it. A seat makes the training required for that person.
✓ One person at a timeSecure AI coding · For the developers you pick
8 short modules on the risks that come with Claude Code, GitHub Copilot, Cursor and every coding agent after them: secrets, customer data, code nobody reviewed, and instructions hidden in what the agent reads. Renewed every year, with a record your auditor can read.
Sources last checked 3 November 2026. Priced per developer, per year.
The short answer
What the tool can read and send, how to keep secrets and customer data out of it, how to review the code and packages it suggests, how to keep a coding agent's permissions narrow, and who to tell when something slips.
Train Space covers those six, then the OWASP Top 10 and the secure development lifecycle, so one yearly program can stand behind a secure development training control.
The program, module by module
Every module is about five minutes, ends in a check scored on the server, and names the pages it was checked against.
| Module | What the developer can do after it | Sources |
|---|---|---|
| What AI coding tools can access | Know what your AI coding tool reads and sends, keep company code on the company account, and start it in the right folder. | 5 |
| Keeping secrets out of AI tools | Keep keys and tokens out of prompts and out of the tool's reach, and get one revoked the moment it slips. | 7 |
| Keeping customer data out of AI tools | Debug with masked or made-up data, keep production records, logs and dumps away from the tool, and report it when real data slips in. | 3 |
| Reviewing AI-generated code | Review AI-written code like a stranger's, check every new package is real and wanted, and never merge what you can't explain. | 7 |
| Coding agents and prompt injection | Keep an agent's automatic approvals narrow, treat what it reads as untrusted, and add only the plugins and tool servers your company approves. | 6 |
| Responding to an AI tool incident | Report an AI coding slip the moment you notice, give the facts, keep the evidence, and leave the big calls to whoever handles incidents. | 5 |
| The OWASP Top 10 | Spot the OWASP Top 10 flaws in code you or your tool wrote, and use the habit that stops each one. | 6 |
| The secure development lifecycle | Ask what could go wrong before you build, then keep reviews, tests, pipeline secrets, dependencies and logs safe all the way to production. | 7 |
How the year runs
The usual worry when a company rolls out an AI coding tool is a developer pasting a key or a customer record into a prompt, or an agent reading something it shouldn't. This program is the checklist item you can tick before access, and show later.
Only the developers you choose take it. A seat makes the training required for that person.
✓ One person at a timeThe first cycle opens at the seat. Reminders go out, and managers hear about anyone overdue.
↻ Renewed every yearEach completed cycle earns a credential and shows in the audit export and PDF summary as its own program.
✦ Its own line, its own figuresWhat it is, and what it isn't
Claude Code, Copilot and Cursor are quoted from their own docs. The habits carry to whatever tool comes next.
Where a company fact matters, such as the approved account or the incident channel, lessons use yours.
It supports your secure development training control. It doesn't make you SOC 2 or PCI DSS compliant, and doesn't say so.
A few good questions
Still wondering about something? Ask us and we’ll answer it here.
Ask your questionTraining for developers who use AI coding tools such as Claude Code, GitHub Copilot and Cursor. It covers what the tool can read and send, keeping secrets and customer data out of it, reviewing AI-written code and packages, coding agents and prompt injection, and what to do when something slips. Train Space's program adds the OWASP Top 10 and the secure development lifecycle, in 8 modules of about five minutes each.
It is tool-agnostic. Claude Code, GitHub Copilot and Cursor are the examples, quoted from their own documentation, but the habits apply to any assistant or agent that reads your code. It doesn't teach any one tool's features.
Only the people an admin picks. Holding a Secure AI coding seat makes the training required for that person, with a yearly cycle, a due date, reminders and manager escalation. Everyone else in the company is unaffected.
That is what it is built for. Each completed year earns a Secure Development Training credential, and the program shows as its own line on the compliance screen, in the CSV and JSON audit export and in the PDF period summary. Train Space doesn't claim to make a company SOC 2 or PCI DSS compliant; your auditor tests your own control.
Yes. Secure AI coding is a separate program with its own seats, priced per developer per year, and a company can have it with or without the Security Awareness Program.
Every module cites the vendor and standards pages it was checked against (46 sources across the program, from OWASP, NIST, CISA, GitHub, Anthropic and Cursor) and carries the date it was checked. A lesson whose sources pass their recheck date fails the build, so it can't reach a developer stale.
Put the learning to work
Book a demo and we'll walk you through the program and the audit export.
Priced per seat, per year.Looking for training for everyone else? See AI training for employees.