Real time coaching and prevention of human-centric security vulnerabilities

Abstract

The disclosed system generates 'real-time' notifications to prevent cybersecurity violations while also effectively training users. The system captures text from a user interface and selects a set of task instructions based on whether the text corresponds to an outgoing or incoming communication. If the captured text is incoming, the system selects task instructions related to phishing. If the captured text is (intended) outgoing, then the system selects task instructions related to data leakage. The system forms a prompt with the selected task instructions and the captured text and then inputs the prompt to a generative language model. If the response from the generative language model indicates a cybersecurity violation, such as either phishing or potential data leakage, then the system generates a notification accordingly. The system also records generation of notifications per user to facilitate risk assessment.