AI code audit: scope, process and deliverables for AI-built products
A working AI-built product answers one question: does it run? An AI code audit answers the next one: will the product hold up when…

AI code audit: scope, process and deliverables for AI-built products
A working AI-built product answers one question: does it run? An AI code audit answers the next one: will the product hold up when…

Vibe coding security risks: what breaks when real users arrive
The main vibe coding security risks are not whether AI wrote the code, but whether the resulting controls have been specified, implemented and verified.…

AI generated code in production: a founder’s guide to shipping AI-built products safely
AI-generated code can work well in a demo because the application only needs to demonstrate its intended functionality. Production introduces a different set of…

DevSecOps benefits and ROI for European SMEs
DevSecOps benefits appear when security work changes how software is delivered. The value comes from finding issues before they become release blockers, assigning each…

DevSecOps maturity model: 5 stages of adoption explained
A DevSecOps maturity model is useful only when it shows what is already working, what is missing, and what should change next. For many…

DevOps vs DevSecOps: key differences and adoption guide
DevOps is enough when your main delivery risk is speed, reliability or handover between development and operations. DevSecOps becomes necessary when security findings, evidence…

Secure code review vs automated SAST: when to use each
SAST (Static Application Security Testing) is a baseline control. Secure code review is a decision control. Automated SAST should run across every pull request…