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Code and risk

“Security flaws are shipping in code that looks fine.”

AI-written code passes a quick review and a generic scan, and still carries risk into production.

45%of AI-generated code samples failed security tests, across more than 100 language models.Veracode GenAI Code Security Report, 2025

01 / The challenge

You will recognize this if…

  • Scanners report hundreds of findings, and nobody knows which matter.
  • Dependencies appear that nobody chose deliberately.
  • Secrets, permissions and input handling are checked inconsistently.
  • Security review happens once, near the end, if at all.

02 / Why it happens

The root cause.

AI reproduces the patterns in the code it learned from, insecure ones included, and does it fluently enough to pass a quick look. Generic scanners catch some of it and bury the rest in noise. Knowing what will actually hurt you in production takes engineering judgment.

03 / Our point of view

What we believe.

See our approach

AI-written code fails in quiet ways. It looks idiomatic, passes the tests and still mishandles input, trusts the wrong thing or pulls in a risky dependency. Volume makes it worse: more code, reviewed faster.

We believe security has to move into the loop, with checks that understand context and rank real risk, backed by independent review where it matters. Scanners help. Judgment decides.

04 / How we solve it

What we do about it, with you.

A bounded, independent audit first, then the same checks built into your delivery.

  1. 01

    Audit in depth

    Detailed code and security audits using our 20+ engineering checks, going well beyond out-of-the-box scanning.

  2. 02

    Rank by real risk

    Findings prioritized by what will hurt you in production, with a clear order of what to fix first and why.

  3. 03

    Check in every loop

    The same checks built into your delivery, aligned with OWASP guidance and the NIST Secure Software Development Framework, so issues are caught as code is written.

  4. 04

    Stay independent

    We never independently audit software we built for the same client.

Confidence in what reaches production

Findings ranked by real risk, not volume

Security that keeps pace with speed

Typical first stepProduction-readiness audit2 to 4 weeks per product or service · Fixed fee, agreed before we startWhat you get

The quality gate

What never reaches production.

Every change passes the same gate. What is sound goes through. What is insecure or fragile is stopped, fixed and checked again.

Fix andre-verifyCode headingto production20+checksProduction
  • Code
  • Security
  • Architecture
  • Tests
  • Performance
  • Operations
Code heading to productionVerified code reaches productionInsecure or fragile code is stopped and fixed

Our independence rule

We never independently audit software we built for the same client. When we verify, we have nothing to defend.