Abstract: A system and method for a continuous self-improving loop for security of generative artificial intelligence (GenAI) deployed in a system is provided. Prompt(s) are input to a target GenAI to perform security tests. An attack vulnerability report can be generated based on the output generated by the target GenAI in response to the plurality of security tests to a validation module that determines which data in the attack vulnerability report is accurate. For each security test that produced inaccurate output, a first dataset can be generated and can be used to create new security tests. For each breach of security that is accurate, a second dataset can be generated based on the respective security test that caused the breach of security and the target GenAI can be updated by training the target GenAI with the dataset to improve security of the target GenAI in use by the system.

Abstract: A method for self-service cohort selection may include receiving one or more user inputs specifying one or more cohort selection criteria. A script for accessing a first data store storing a first dataset may be generated based on the one or more cohort selection criteria. The script may be executed to retrieve, from the first dataset in the first data store, a subset of data. A second dataset corresponding to the first subset of data retrieved from the first data store may be generated for storage at the second data store. A visual representation of at least a portion of the second dataset may be generated for display at the client device. Related systems and computer program products are also provided.