Six CyberAI SFS awards made under one framework on the same day — scholarships conditioned on government service, training people who can handle both AI and cyber defense
The National Science Foundation awarded roughly $2 million to the University of Texas at Dallas to establish a CyberAICorps Scholarship for Service (CyberAI SFS) program training cybersecurity professionals proficient in artificial intelligence. It aims to build cohorts able to work with AI on both offensive and defensive operations and to supply people who can protect critical infrastructure.
Grant overview (primary data)
- Award amount$1,999,998
- RecipientUniversity of Texas at Dallas (Texas)
- ProgramCyberAICorps SFS
- Period2026-08-01 〜 2029-07-31
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- The University of Texas at Dallas will establish a CyberAI SFS program training cybersecurity professionals proficient in AI ($1,999,998; 2026-08-01 to 2029-07-31).
- Scholarship for Service conditions support on working in government cybersecurity roles for a set period after graduation.
- Training covers both defending with AI and preparing for attacks that use it.
- Among the NSF awards this site holds as of 2026-09-02, CyberAICorps SFS is the largest program at 11; 6 of the 27 not yet covered fall under it, all starting 2026-08-01.
- Across the 120 records at that date, obligated amounts have a median of $1,955,351, a maximum of $11,000,000 and a minimum of $1,000,000; the median duration is three years.
1A scholarship in exchange for government service
Scholarship for Service is a framework in which students receiving tuition and living support commit to working in cybersecurity roles at federal, state or local government bodies for a set period after graduation. In a field where supply cannot keep pace, it ties the educational investment directly to a destination.
This award falls under CyberAI SFS, which adds artificial intelligence to that framework, aiming to produce people who can both defend using AI and prepare for attacks that use it.
2Same day, same framework
Across the records this site holds as of 2026-09-02, CyberAICorps SFS is the most numerous program. Six of the 27 awards not yet covered fall under it, all with a start date of 2026-08-01. The University of Texas at Dallas, the University of Texas at El Paso, Arizona State University and Michigan Technological University, among others, are running awards of the same design at the same time.
Reading them as one workforce policy rolled out nationwide is closer to the reality than reading each award on its own.
3Handling both offense and defense
What stands out in the description is that operations on the offensive side are included in the training, not only defense. Learning defensive technique alone leaves preparation one-sided, because what will actually be attempted stays unknown.
Other awards in the same program repeatedly mention responding to new threats made possible by AI, and the double-edged nature of AI — strengthening defense while raising the sophistication of attacks — sits as a premise of the program design.
4Where the amount sits
Across the 120 NSF awards this site holds as of 2026-09-02, obligated amounts have a median of $1,955,351, a maximum of $11,000,000 and a minimum of $1,000,000. This award at $1,999,998 sits slightly above the median. Its three-year period matches the median duration of three years among the same records.
For a workforce award the size and duration are standard; what is distinctive is how many awards of the same kind stand alongside it. Amounts are the obligated amount as of the check date and may change.
Why it matters
It shows the shape of a policy that supplies government with people who handle AI and cybersecurity together rather than separately. Running awards of the same design at several universities simultaneously is a concrete example of how the United States is trying to close a workforce gap.
FAQ
What is Scholarship for Service?
Why do several awards look alike?
Sources (primary)
Source: NSF Award Search (U.S. National Science Foundation, public domain). Amounts are the obligated amount. For privacy, we do not handle principal investigator names.
- NSF Award (original, official)
- NSF Award ID: 2623228