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Creates a DHS/CISA grant program to fund the development of secure AI-enabled, cyber-physical testbeds that simulate grid-scale cyberattacks and train AI models safely. The program must be set up within 180 days of enactment, provide awards for fiscal years 2026–2030, and is authorized $100 million total. Requires annual joint reports to Congress (starting one year after enactment and continuing through 2031) on threats, progress in AI mitigation, and recommendations for legislative or regulatory action. Eligible applicants include colleges, universities, community colleges, Hispanic-Serving Institutions, National Laboratories, and consortia of those entities.
The bill invests modest federal funds to build AI-enabled grid cyber-physical testbeds and research capacity that can materially improve grid security and public safety, while trading off increased federal spending, potential security-handling risks, limited eligibility that may slow private-sector adoption, and extra administrative burdens.
Utilities and grid operators (and the communities they serve) gain access to realistic AI-enabled cyber-physical testbeds that strengthen defenses against large-scale cyberattacks and reduce blackout risk, improving public safety.
Researchers and universities receive funding and infrastructure to build specialized testbeds and collaborate with national labs, advancing scientific capacity and workforce development in AI and grid security.
Congress (and the public) will receive annual, evidence-based reports through 2031 on evolving threats and mitigation progress, improving oversight and policy-making.
All taxpayers bear a roughly $100 million appropriation to fund the program, increasing federal spending and creating budget trade-offs.
Eligibility limits (to universities, national labs, and consortia) may exclude private-sector grid operators and vendors, slowing operational uptake and practical deployment by the firms that run the grid.
Creating realistic cyber-physical testbeds carries the risk that test artifacts or discovered vulnerabilities could be mishandled or leaked, creating new security exposures for grid operators and local governments.
Introduced February 25, 2026 by Pablo José Hernández · Last progress February 25, 2026