AI-Driven Fraud as an Emerging Cyber Risk
Abstract
This dataset compiles documented incidents of artificial intelligence–enabled fraud and deepfake-related crimes from around the world, providing a comprehensive resource for the systematic analysis of emerging digital threats. It encompasses a wide range of cases involving synthetic media, AI-generated impersonation, and automated deception techniques used for financial fraud, identity theft, misinformation, and social engineering. By aggregating incidents across regions, sectors, and time periods, the dataset facilitates comparative analyses of trends, methods, impacts, and countermeasures associated with AI-driven fraud. The dataset is designed to support interdisciplinary research, risk assessment, and the development of detection, prevention, and regulatory strategies to address the growing misuse of AI and deepfake technologies globally.
Fields of Study & Subjects
Cybercrime and Law Enforcement Studies
Misinformation and Its Impacts
Spam and Phishing Detection
Publication details
- Journal / source
- Harvard Dataverse
- Publication date
- 8 February 2026
- Language
- EN
- Document type
- Dataset