Secure by Design in the Age of AI™

AI has changed product security from a quality function into a capacity problem.

Two forces compound at once. Engineering velocity has increased by an order of magnitude while security review capacity has not, opening a widening gap between how fast products are built and how fast they can be reasonably secured. Layered on top of that velocity gap, AI introduces a fundamentally different class of risk: vulnerabilities that exist at the meaning layer, not the syntax layer, where deterministic tooling cannot reliably find them. Most organizations are quietly shipping AI-enabled products faster than they can secure them, and learning about the gap from customers, regulators, or breach disclosures.

This book names that combined condition The Dual-Impedance Problem and treats it as the strategic context every product organization now operates inside. Organizations that solve it use AI to close the security capacity gap and build structural boundaries around AI's new failure modes. Organizations that do not ship faster, accumulate undetected risk, and discover it from the outside.

What this book gives you

At its center are five working frameworks executives can apply directly: The Product Attack Surface Taxonomy™ (where product risk lives across seven layers, extended to include AI-native components); The AI-Caused Vulnerability Model™ (the seven sources of AI-introduced risk, scored against the organization's actual product stack); The Action Boundary Model™ (a four-tier classification of what an AI system may read, decide, recommend, and execute); The AI Product Security Lifecycle™ (the integrated operating model that merges existing SDLC and DevSecOps with AI-specific controls); and The Secure AI Release Gate™ (the release-readiness artifact that consolidates threat modeling, output validation, prompt injection coverage, agent boundary documentation, model provenance, and incident response readiness).

The frameworks are aligned with the CISA Secure by Design program, OWASP LLM Top 10, NIST SSDF, and emerging AI regulation. They produce decisions defensible to a board, an auditor, or a regulator, not a slide deck.

Who it's for

CISOs, CTOs, VPs of Engineering and Product, security architects, board members, and compliance officers in organizations shipping AI-enabled products to enterprise customers or regulated industries. No technical background required for the executive deliverables; engineering-grade depth available for the architects and senior engineers who will own the implementation.