Document fraud has evolved from slow, manual forgeries into rapid, AI-enabled attacks that static, rule-based systems can no longer contain. This article explores how machine learning detects subtle visual tampering, semantic inconsistencies, and behavioral anomalies at scale – and why integrating expert human review remains essential for staying ahead of increasingly sophisticated fraudsters.