New patent application published for: Intelligent Alert Remediation Using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)

Systems and methods for providing intelligent alert remediation recommendations include receiving a security alert from an External Attack Surface Management (EASM) platform; extracting metadata and contextual information from the security alert and converting the extracted metadata and contextual information into a vector embedding; performing a similarity search over a knowledge base comprising structured and unstructured data using the vector embedding to retrieve relevant remediation data; and generating, via a Large Language Model (LLM), remediation recommendations based on a context-aware prompt constructed from the retrieved data and the alert information.