Secure by Design in the AI Age: Redefining Software Security: Speed, Trust, and the New Rules of Building Software

It's Friday afternoon. Your developer is stuck in traffic, but Monday's demo needs a payment feature. Your product manager describes what she wants to an AI, and thirty minutes later commits working Stripe integration to your repository.

By Monday, customers are making payments through code no engineer has ever reviewed.

When building becomes frictionless, we discover that the friction was doing the security.

AI tools generate production systems in minutes. Your governance still assumes humans write code at human speed. The frameworks you trust, shift-left security, DevSecOps, traditional code review, weren't built for code that appears faster than anyone can evaluate it.

They're not struggling. They're obsolete.

This book introduces Adaptive AI SDLC(TM), the first development framework designed specifically for AI-generated software.

What's inside:

• Part I: The Disruption - Why every framework you trust is structurally failing
• Part II: The Solution - The complete event-driven model (Intent → Generate → Validate → Integrate) and three governance pillars that make secure AI acceleration possible
• Part III: Making It Real - Implementation roadmaps, EU AI Act compliance mapping, readiness assessments, and ROI tools

For CTOs, CISOs, and engineering leaders who refuse to choose between AI velocity and organisational security.

The EU AI Act takes effect August 2026. The competitive window is narrowing. Organisations that master governed AI development now will set industry standards. Those still debating will spend years catching up.

About the author:

Jonas Kjellin is Head of Cybersecurity Architecture & Engineering at H&M Group and former fintech founder, working both sides of the problem: enterprise security by role, AI-assisted development by practice.

The traditional SDLC is dead. This is what replaces it.