Debapt: Ontology-driven multi-agent debate for APT adversary profile construction from cyber threat intelligence

Debapt is a system that uses multiple AI agents (independent AI programs that work together) debating with each other to build profiles of APT (advanced persistent threat, a sophisticated type of cyberattack) adversaries by analyzing cyber threat intelligence (information about security threats). The system uses an ontology (a formal structure that defines how concepts relate to each other) to organize this debate process. This research proposes a new way to understand and track advanced attackers by having AI agents discuss and reason through threat data together.