GENERATING MITIGATING RESPONSES TO SECURITY DEFICIENCIES USING GENERATIVE MACHINE LEARNING MODELS

An example method includes receiving an identifier associated with a security deficiency, wherein the security deficiency is associated with a computer system; determining, based on the identifier, text data associated with the identifier; determining a text prompt, wherein the text prompt comprises an instruction segment and the text data, and wherein the instruction segment identifies a mitigating response detection task and an output constraint; providing the text prompt to a generative machine learning model; receiving, from the generative machine learning model, a set of outputs including a first output identifying a first mitigating response and a second output identifying a second mitigating response; determining that the first output satisfies the output constraint; determining that the second output fails to satisfy the output constraint; determining, based on the first output, a final output; and providing the final output using an output interface.