Blake CurtisDr. Blake Curtis, Sc.D., is a research scientist and cybersecurity audit and AI-governance practitioner specializing in quantitative correlational research, the science of expertise, judgment and decision-making, and task performance. Previously, he served as Senior Leader of AI Governance for AWS Support at Amazon Web Services (AWS), where he designed an AI Audit and Risk Management program informed by the NIST AI RMF and helped establish early risk detection for AI-enabled services supporting 55,000 customer support agents. Across a 19-year career, he has earned more than 30 certifications across cybersecurity, audit, cloud, privacy, risk, leadership, and AI governance. He is also a licensed skills consultant who leads and contributes to technical competency and performance evaluations for IT organizations. His recognition includes the 2025 Amazon Leadership Principle Excellence Award, 2024 Amazon Smile Award, 2024 Top 25 Cybersecurity Leaders recognition from Cybersecurity Hub, Deloitte Applause Awards, and the Western Governors University Distinguished Alumni Award after completing his master's degree in 10 weeks. He earned a Doctor of Science in Cybersecurity from Capitol Technology University and completed a dissertation of more than 600 pages, among the largest doctoral dissertations in cybersecurity and IT audit. Its quantitative, task-based findings and critical review of expertise research show why elapsed hours and years of experience alone cannot establish competence and why the popular 10,000-hour rule misinterprets Anders Ericsson's work. He serves as an ISACA advisory board member and governance topic leader, authored the Certified Information Security Manager Review Manual, 17th Edition, and contributed to ISACA's Advanced in AI Auditing curriculum. He also holds the Artificial Intelligence Governance Professional (AIGP), Advanced in AI Audit (AAIA), and Advanced in AI Security Management (AAISM) credentials. Read More Read Less