This research explores how diffusion models can transform anomaly detection capabilities in high-dimensional, complex data environments.

• Bridges powerful generative AI techniques with anomaly detection tasks
• Offers innovative solutions for cybersecurity threats identification
• Enables advanced detection in healthcare diagnostics
• Applies across multiple domains including manufacturing and fraud detection

For security professionals, these models represent a significant advancement in identifying subtle deviations and emerging threats that traditional detection methods might miss. Their capability to model normal patterns and flag anomalies makes them particularly valuable for evolving security landscapes.

A Survey on Diffusion Models for Anomaly Detection