AI-assisted development · vibe coding

AI writes the code. Who reviews the risk?

AI assistants now write a growing share of new code, and people with no engineering background ship whole apps from prompts. It often works. It is rarely safe by default. We train your team to catch the risk before it reaches production, live and tailored to your stack.

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Three areas where the risk has changed.

Volume

More changes reach review than before, while review capacity stays the same.

Patterns

Generated code can contain well-known vulnerability classes, such as injection, missing authorisation checks or hardcoded secrets, and still look correct.

Access

Coding agents can read repositories, run commands and reach credentials or pipelines, so their permissions become part of your attack surface.

AI speeds up writing code. Security review has to keep pace.

In many teams AI coding assistants are now part of everyday work, and more and more new code starts as an AI suggestion. The suggestions arrive fast and look plausible, but they can contain the same vulnerability classes as human-written code, and every extra change lands on the same reviewers.

At the same time, many people building with prompts have no security or even engineering background. The output passes a demo and fails a threat model: hardcoded secrets, missing authorisation, injectable inputs, over-broad permissions.

A scanner finds some of this. It does not teach the developer to stop writing it, and it does nothing for the person who cannot read the code they shipped. That gap is judgement and review, and that is what we build.

What we cover

Vibe coding & no-code AI builds

Where prompt-built systems break, and how non-engineers can keep building without pushing new security risks into production.

Reviewing AI-generated code

Common security flaws in AI-generated code, and security review that keeps pace with development.

Secrets & least privilege

Keeping credentials out of prompts and code, limiting what AI agents can access and supervising what they do.

CI/CD guardrails

SAST, DAST and SCA wired into the pipeline as tuned gates, so velocity does not outrun security.

Tiered governance

What may be AI-generated with light review, and what needs human authorship or senior sign-off before it ships.

NIS2 / ISO/IEC 27001 (engineering side)

The same practices produce traceable evidence for your compliance work. Training supports compliance; it does not guarantee it.

AI development security training for your team

A half-day taster with focused practice exercises, or a hands-on workshop tailored to your stack and, where practical, run on your own code. Remote or on-site, in English or Hungarian. Leave your details and we'll get back to you.

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