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ScamBench is a cybersecurity research initiative developed by The AI & Cybersecurity Institute (TAICI), built on postdoctoral research from Harvard University with support from Coefficient Giving. We created the first comprehensive evaluation framework for measuring how people detect and respond to AI-powered social engineering attacks across email, text, phone, and social media. As scam tactics grow more sophisticated — leveraging generative AI, deepfakes, and personalized targeting — traditional awareness programs haven't kept pace. ScamBench addresses this gap by studying real-world scam susceptibility under realistic conditions, moving beyond outdated survey-based approaches to measure how people actually behave when confronted with modern threats. Our multi-channel methodology evaluates detection across the full spectrum of communication platforms that scammers exploit today. ScamBench's research contributes to a critical question in cybersecurity: how vulnerable are real people to the next generation of AI-driven scams, and what actually works to protect them? Our findings inform defensive strategies for individuals, organizations, and policymakers working to stay ahead of rapidly evolving social engineering techniques. We collaborate with university research centers and cybersecurity faculty across the United States, building a network of institutional partners committed to advancing the science of scam detection and digital safety education. Our work spans multiple demographics — from youth and students to older adults — because effective cybersecurity awareness must reach every population that scammers target. ScamBench's research has been referenced by Reuters, TIME, Harvard Business Review, and The Guardian. We are committed to making our tools and findings accessible to the public, educators, and the broader cybersecurity community. Learn more at scambench.org.See more