The rapid advancement of foundation models in fields like healthcare, cybersecurity, and finance highlights the urgent need to improve their anomaly detection capabilities. Despite their growing application in high-stakes areas, the challenges of using these models for anomaly detection remain underexplored. The Anomaly Detection with Foundation Models (ADFM 2025) workshop aims to address this gap by focusing on the intersection of foundation models and anomaly detection. Our organizing and technical committee, composed of leading experts, provides a platform for advancing research and discussing the recent breakthroughs, and the technical and ethical implications of deploying these models. ADFM 2025 will foster interdisciplinary collaboration and contribute to the development of more reliable and effective anomaly detection systems in artificial intelligence.