Abstract: A system and method for cybersecurity vulnerability management through ticket system reduction reduces alert fatigue. The method includes receiving a plurality of alerts from a cybersecurity monitoring system, the cybersecurity monitoring system configured to monitor a computing environment, wherein each alert includes a plurality of attributes; generating in a graph database a ticket node corresponding to each alert of the received plurality of alerts; generating in the graph database a ticket group node, the ticket group node connected to a plurality of ticket nodes, each ticket node of the plurality of ticket nodes corresponding to an alert having an attribute with a same value; generating a ticket in a ticketing system corresponding to the ticket group node; and generating a visual representation of the ticket corresponding to the ticket group node.

Abstract: Systems and methods are disclosed for managing a generative artificial intelligence (AI) model to improve performance. Managing the generative AI model includes using a second generative AI model to generate outputs from similar inputs and comparing the outputs of the generative AI models to determine their similarity. The second generative AI model is trained using fresher training data but may not be manually supervised and adjusted to the level of the generative AI model being managed. As such, an output of the second generative AI model is compared to an output of the managed generative AI model by a classification model to determine a relevance of the output from the managed generative AI model. An output of the classification model is used to perform various suitable policies to optimize the performance of the managed generative AI model, such as providing alternate outputs, preventing providing the output, or retraining the model.