APT Tactic

"Tactic" research spans diverse fields, focusing on identifying and analyzing strategic actions within various contexts, from cyberattacks and social movements to sports and autonomous systems. Current research employs machine learning models, including BERT and recurrent neural networks, along with agent-based modeling and computer vision techniques, to detect, classify, and predict tactics across different data types (e.g., text, network graphs, video). These advancements improve threat detection, enhance understanding of complex systems, and offer opportunities for optimizing performance in areas like automated driving and sports strategy.