The increasing number of cyberattacks have made it more important to continually develop advanced measures to combat the sophisticated tactics employed by cybercriminals. Phishing, a prevalent form of cybercrime, poses significant threats to both individuals and organizations, resulting in substantial financial and data losses. Anti-phishing applications on the market exist for organizations and businesses, but not for individuals. Thus, this paper addresses the persistent challenge of phishing attacks by proposing an AI-powered application framework aimed at identifying the necessary features to effectively prevent private individuals from becoming victims to phishing. What are the essential features required for an AI-powered PC application to effectively detect and prevent phishing attacks targeting individuals?

Through qualitative insights gathered from interviews with cybersecurity experts as well as literature research, essential features for an application for phishing prevention are identified and listed out. The list focuses on practical applications and expert-recommended strategies, aiming to integrate AI technologies to combat diverse phishing tactics effectively. The strategies include different prevention and detection techniques, for instance pop-up warnings, raising awareness and a new system dubbed “behaviour mapping.” These strategies should all be integrated in one application.