In today’s cybersecurity landscape, phishing attacks have become highly sophisticated, utilizing multiple communication channels such as voice calls, emails, and messaging platforms to increase success rates. These attacks often target multiple individuals within an organization to gain access to sensitive information and unfold in several stages, making them harder to detect as attackers build trust over time. Additionally, attackers personalize their messages using publicly available information, exploiting victims' trust through social engineering. Combating these complex threats necessitates robust defenses and increased user awareness.

In this project, we utilize emerging conversational multiagent technology to develop advanced tools for training and detecting complex phishing cyber attacks. This innovative approach enables us to create more effective training programs that simulate sophisticated phishing scenarios, helping users recognize and respond to potential threats. Additionally, the multiagent system enhances our detection capabilities by analyzing interactions in real-time, identifying suspicious patterns, and providing timely alerts to mitigate risks. Through these efforts, we aim to bolster organizational defenses against increasingly intricate phishing tactics.