An adaptive framework for cyber threat recognition using contextualised embeddings and contrastive learning
A domain-adapted NER framework that combines a fine-tuned robustly optimised BERT pretraining approach encoder with a bidirectional long short-term memory layer to capture both long and short patterns in threat reports, demonstrating the framework’s value for real-world CTI analysis and automated cyber defense.