New Model Aims to Predict Ransomware Threats
/ 1 min read
🛡️🔍 New model predicts ransomware threats to help organizations prioritize defenses. A recent study introduces a machine learning model designed to assist organizations in identifying and prioritizing ransomware risks based on historical victim data. With approximately two-thirds of organizations experiencing ransomware attacks in 2023, the model utilizes public disclosures and a unique Large Language Model (LLM) approach to analyze adversary profiles and predict which entities are most likely to be targeted. By examining tactics, techniques, and procedures (TTP) of ransomware attackers, the model aims to enhance cybersecurity strategies and improve protection against this escalating threat. This innovative approach could significantly aid organizations in formulating effective defenses against ransomware attacks.
