Secure Code Warrior introduces framework to govern AI use in software development

Secure Code Warrior has introduced the SCW AI Adoption Model, a framework designed to help organisations govern AI use in software development as the industry shifts from the traditional software development lifecycle (SDLC) toward what the company calls the Agentic Development Lifecycle (ADLC).

The model organises AI development into three phases - AI-Assisted, AI Native, and Agentic - each carrying distinct risk levels, developer skills requirements and governance controls.

Secure Code Warrior said the framework gives CISOs a way to identify where their organisation currently sits on the AI adoption curve, what training developers need at each stage, and which governance controls should be in place as autonomy increases.

For security leaders, the model is positioned as a tool to connect AI usage, developer capability and software risk signals in a measurable way and to demonstrate governance return on investment to the business.

"In our current AI-powered development, writing lines of code is almost free, but developers are still on the hook for secure outcomes. Their security skills need to evolve from code writer to creator & orchestrator,” said Pieter Danhieux, co-founder and chief executive at Secure Code Warrior.

"CISOs need an approach to ADLC governance that is as modern as the methodology itself, one that follows an adoption model designed for agentic AI's evolving, adaptive approach to software development. We’ve built this framework to help organisations turn secure AI adoption and AI governance from a reactive exercise into a measurable, scalable discipline.”