DOE OSTI · 3650938
Accelerating Next-Generation Cybersecurity R&D Using AI Workflows: BADGER Project Development
Abstract
The Broadband Automation for Distributed Grid Efficiency and Resilience (BADGER) project aligns with national strategic priorities for integrating emerging wireless technologies and advancing AI-driven security. As critical infrastructure modernizes toward increasingly software-defined and interconnected systems, the ability to leverage 5G/NextG networks and AI-enabled control becomes essential. This report outlines work at the National Laboratory of the Rockies (NLR) to develop a NextG-native security architecture powered by AI-RAN concepts and evaluate workflows that enable efficient and reliable architectures. Together, these efforts position the laboratory to accelerate innovation while directly supporting national security and resilience objectives.
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Rivera, Joshua [National Laboratory of the Rockies, Golden, CO (United States)], Sahu, Abhijeet [National Laboratory of the Rockies, Golden, CO (United States)], Coleman, Tim [National Laboratory of the Rockies, Golden, CO (United States)], Hatic, Dana [National Laboratory of the Rockies, Golden, CO (United States)], Browning, Alex [National Laboratory of the Rockies, Golden, CO (United States)]. 2026-08-27. Accelerating Next-Generation Cybersecurity R&D Using AI Workflows: BADGER Project Development. https://doi.org/10.66816/tp2760944
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