Fraud Unmasked: Detecting Deepfakes, Bots, and Synthetic Fraud with AI is a timely and authoritative work that addresses one of the most pressing challenges of the digital era—AI-driven fraud. Authored by Sri Harsha Anand Pushkala, Dr. Dananjay Anand Pushkala, and Dr. Vikram Neerugatti, the book presents a clear, in-depth exploration of how emerging technologies are reshaping both cybercrime and its prevention.
As deepfakes, automated bots, and synthetic identities increasingly target financial systems, governments, and digital platforms, this book bridges theory with real-world application. It examines the evolution of fraud, the anatomy of synthetic identities, and the misuse of generative AI, while offering advanced detection approaches using machine learning, behavioral analytics, graph-based models, and human-in-the-loop frameworks.
Organized into four comprehensive sections—from understanding modern fraud landscapes to AI-powered detection, secure system design, and ethical considerations—the book equips readers with practical insights, case studies, and future-ready strategies. It is an essential resource for cybersecurity professionals, fraud analysts, data scientists, researchers, policymakers, and students committed to strengthening digital trust in an AI-driven world.