Secure by Design in the Age of AI™

The Dual-Impedance Problem — Why Secure by Design Now Means Capacity, Not Compliance

AI has changed product security from a quality function into a capacity problem. Two forces compound at once: a widening velocity gap between how fast products are built and how fast they can be reasonably secured, layered on a fundamental shift from deterministic to probabilistic risk. The engagement names this combined condition The Dual-Impedance Problem™ and treats it as the strategic context every AI-enabled 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 learn about it from the outside.

What the Secure by Design Engagement Covers

The Secure by Design engagement is a defensible review of how AI-enabled products are designed, built, shipped, and operated inside the organization. It is anchored on the CISA Secure by Design program and aligned with OWASP LLM Top 10, NIST SSDF, and emerging AI regulation. It is conducted against five working frameworks introduced in the forthcoming book of the same name:

• The Product Attack Surface Taxonomy™ — where product risk lives across seven layers, extended to include AI-native components: language inputs, retrieval paths, output renderers, agent boundaries, model artifacts, prompt libraries, and embedding stores.
• 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, applied to every agent and AI feature in production.
• The AI Product Security Lifecycle™ — the integrated operating model that merges existing SDLC and DevSecOps activities with AI-specific controls, phase by phase.
• The Secure AI Release Gate™ — the release-readiness artifact and Product Security Evidence File that consolidates threat model, output validation, prompt injection coverage, agent boundary documentation, model provenance, and incident response readiness.

What You Get From the Secure by Design Assessment

• A scored AI Product Security Maturity Assessment across the eight lifecycle phases (Assess, Architect, Design, Develop, Test, Ship, Operate, Improve), with evidence and remediation guidance for each.
• A Product Security Evidence File template, populated for at least one in-flight AI feature so the team has a worked example, not a blank form.
• A one-page RACI for AI product decisions — who approves AI features, who approves models, who approves data use, who accepts risk through exceptions, who responds to AI-caused incidents.
• A 90-day remediation roadmap sequenced into three thirty-day phases, executable without additional headcount.
• An executive briefing presentation, board-ready, defensible against regulator and customer scrutiny.

Who the Secure by Design Engagement Is 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. Mid-market through large multinational. No technical background required for the executive deliverables; engineering-grade depth available for the architects and senior engineers who will own the implementation.

Why Secure by Design, Now

CISA’s Secure by Design program is reshaping procurement expectations. Enterprise customers are adding AI vendor risk to their questionnaires. Regulators are converging on evidence-based release criteria. The window for organizations to get ahead of this curve is roughly eighteen to twenty-four months. Engagements scheduled in that window establish the operating discipline before it becomes a compliance scramble.