Mahantesh Halappanavar
Chief Scientist and Group Leader, Pacific Northwest National Laboratory
Richland, Washington, United States
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Dr. Halappanavar is a chief data scientist at PNNL, where he serves as the group lead of the Data Science and Machine Intelligence group. He also holds a joint appointment as adjunct faculty in computer science at Washington State University in Pullman. His research has spanned multiple technical foci and includes combinatorial scientific computing, parallel graph algorithms, artificial intelligence and machine learning, and the application of graph theory and game theory to solve problems in application domains, such as scientific computing, power grids, cybersecurity, and life sciences. He has authored over 170 technical publications for peer-reviewed journals, conferences, and workshops.
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CyRAG: Retrieval Augmented Generation for Robust Cyber Defense
We will present a cyber defense tool, CyRAG, which brings together structured data from common vulnerabilities and exposures (CVE), common weakness enumeration (CWE), CAPEC (Common Attack Pattern Enumeration and Classification), and ATT&CK (Adversarial Tactics, Techniques, and Common Knowledge) to generate accurate and context-rich responses from a large language model using retrieval augmentation technique. CyRAG employs Neo4j knowledge graphs to store and retrieve interconnected information in cybersecurity threat intelligence, enabling informed decisions and optimized cyber defense.
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