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August 3-8, 2024
Mandalay Bay / Las Vegas

speaker

Malachi Jones

Malachi Jones

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Dr. Malachi Jones is a Principal Applied Scientist at Microsoft, working in the Microsoft Security AI (MSECAI) division. His work is focused on the application of Artificial Intelligence (AI) and Large Language Models (LLMs) for enhancing cybersecurity solutions. At MSECAI, Dr. Jones leads the development of Reverse Engineering (RE) capabilities for Security Copilot, employing advanced static and dynamic analysis methods, including sandbox detonation, combined with LLMs to improve malware analysis. With over 15 years of experience in security research, Dr. Jones has contributed significantly to both the academic and industrial sectors. Prior to his current position at Microsoft, he worked at MITRE, where his projects included the application of machine learning and intermediate representation languages to automate reverse engineering tasks. During his tenure at MITRE, he also created and taught a course titled "Automating Reverse Engineering with Machine Learning and Binary Analysis." His experience further includes a role at Booz Allen Dark Labs, focusing on embedded security research and the development of LLVM IR-based tools for automated vulnerability assessment, leading to his co-authorship of US Patent 10,133,871. Throughout his career, Dr. Jones has been dedicated to education and training. He has consistently taught courses on Automating Reverse Engineering at all his employers, including Microsoft. His independent research endeavors in AI/ML, NLP, and LLMs have not only kept him at the forefront of technological advancements but also ensured that the courses he teaches are up-to-date with the latest developments in the field. Dr. Jones held an Adjunct Professor position at the University of Maryland at College Park from 2019 to 2020, where he taught "Machine Learning Techniques Applied to Cyber Security." Additionally, he has taught his specialized course on Automating Reverse Engineering with Machine Learning, Binary Analysis, and Natural Language Processing at Blackhat USA in 2019, 2021, and 2023, as well as at RECON Montreal in 2023. Holding a B.S. in Computer Engineering from the University of Florida and an M.S. and PhD from Georgia Tech, with a focus on Game Theory applications in cybersecurity, Dr. Jones's extensive knowledge and practical experience in AI, ML, and cybersecurity are instrumental to his contributions in the field, particularly at Microsoft MSECAI.



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