Automated Phishing Scenario Generation Using Generative AI for Cybersecurity Awareness

Phishing attacks, which use bogus websites and misleading messaging to target people and organisations, have emerged as one of the most prevalent cybersecurity risks. Conventional cybersecurity training techniques rely on manually generated phishing examples, which are frequently constrained and unable to represent the quickly changing strategies employed by attackers. This paper suggests a Generative Artificial Intelligence-based automated phishing scenario generation method to tackle this problem. For the objective of raising cybersecurity awareness and providing training, the suggested technology is made to automatically generate realistic phishing scenarios. Python is the main programming language used to create the system as a web-based application utilising the Django framework. Through a web interface, users can interact with the system to create dynamic phishing scenarios, and administrators can use an admin panel to monitor and control generated content. The automated creation of phishing scenarios enhances the efficacy of cybersecurity training programs by simulating actual cyberthreats. The findings show that the suggested approach can effectively produce a variety of phishing situations, lowering manual labour and improving cybersecurity readiness. In contemporary digital environments, this strategy offers a scalable and clever way to increase user awareness and protect against phishing attempts.