Leveraging Transformer Embeddings for Real-Time Discovery of Malicious URL Campaigns in the Generative-AI Threat Era
A unified, deployable framework for real-time campaign discovery that converts raw URL streams into dense Sentence-BERT embeddings and couples approximate nearest neighbor search with online density-based clustering, discovering emerging campaigns without prior knowledge of their number or shape.