AI-Enhanced External Footprinting: Discovering the Hidden AI Attack Surface

AI-Enhanced External Footprinting Discovering the Hidden AI Attack Surface Artificial intelligence has quietly become part of the modern attack surface. Organizations now rely on AI-powered websites, customer portals, cloud platforms, chatbots, recommendation engines, APIs, and third-party AI services. Yet most cybersecurity assessments still focus primarily on servers, domains, IP addresses, and traditional infrastructure. What if the greatest cybersecurity exposure is no longer the infrastructure itself... ...but the intelligent systems operating behind it? In AI-Enhanced External Footprinting, Dr. Tyrone Wilson introduces a practical methodology for identifying, documenting, and evaluating the AI-enabled capabilities that have become part of today's external digital ecosystem. Inside you'll discover how to: ✔ Identify publicly observable AI capabilities ✔ Build AI capability inventories ✔ Evaluate AI trust relationships ✔ Map AI supply chains and third-party dependencies ✔ Assess AI-enabled operational exposure ✔ Prioritize AI observations using a structured risk framework ✔ Integrate AI assessment into existing External Attack Surface Management (EASM) programs Built around the Wilson AI-Enhanced External Footprinting Model (WAEFM), this book provides cybersecurity professionals, CISOs, security architects, governance teams, healthcare leaders, consultants, and graduate students with a repeatable framework for understanding how artificial intelligence is reshaping the external attack surface. As AI continues to transform business, the question is no longer: "What systems are exposed?" It is: "What decisions are exposed?" The next generation of external footprinting has already begun.