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... >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. >"What systems are exposed?" It is: "What decisions are exposed?" The next generation of external footprinting has already begun.