Retrieval Augmented Generation for Robust Cyber Defense
PIs: Mahantesh Halappanavar, Maxwell Levin, and Sai Munikoti

For over 20 years, Pacific Northwest National Laboratory (PNNL) has been at the forefront of developing robust cyber capabilities to combat those who aim to breach and jeopardize our nation’s security using digital methods. This project has been introduced to develop a Retrieval Augmented Generation (RAG) tool to capture cyber defense data from several datasets and for generating a variety of cyber defense answers through a comprehensive web-style tool.
Every day, new vulnerabilities are discovered and exploited by attackers. To combat this, the project aims to create a comprehensive website that empowers cyber defenders to make informed and swift decisions. This will be achieved through state-of-the-art artificial intelligence tools that can process vast knowledge bases and establish new connections between different databases. By clustering software vulnerabilities in a user-friendly manner, this website will cater to the needs of cyber security experts and system administrators.
PNNL is committed to creating an advanced RAG tool which will revolutionize the way we interact with datasets. The cutting-edge technology at PNNL will provide a seamless natural language interface, allowing for rapid analysis of cyber threats, getting rid of silos that make it challenging to complete rapid analysis of cyber threats.