NSF award $2.45M: scholarships in exchange for government service — building security talent for the AI era (Vanderbilt University)
NSF awarded about $2.45 million to Vanderbilt University for "CyberAI SFS: Secure and Trustworthy AI Research and Training Program (STAR)." SFS is a scheme under which students receiving scholarships commit to working in government afterwards; our collection holds six awards whose titles begin "CyberAI SFS:".
Grant overview (primary data)
- Award amount$2,449,463
- RecipientVanderbilt University (Tennessee)
- ProgramCyberAICorps SFS
- Period2026-08-01 〜 2029-07-31
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- NSF Award 2622415, "CyberAI SFS: Secure and Trustworthy AI Research and Training Program (STAR)," to Vanderbilt University (TN).
- Program: CyberAICorps SFS. $2,449,463 obligated and estimated; period 2026-08-01 to 2029-07-31.
- SFS is Scholarship for Service: support for tuition and living costs in exchange for a set period of government employment after graduation.
- The subject spans protecting AI from attack and using AI in defense.
- Six awards in our collection carry titles beginning "CyberAI SFS:" — a cohort selected against one common solicitation.
- Using AI for defence and defending AI itself require opposite thinking, and the training program builds in both.
1SFS: scholarships traded for public service
SFS stands for Scholarship for Service, an NSF scheme for developing cybersecurity talent. Students receive support for tuition and living costs and, in exchange, commit to working for a government agency for a set period after graduating. Where a research grant funds the creation of knowledge, this funds the movement of people.
It is the mechanism by which public bodies secure the numbers they need in a field where talent flows readily to the private sector.
2The subject "Secure and Trustworthy AI"
Secure and Trustworthy AI in the title points in two directions at once. One is protecting AI from attack — poisoned training data, stolen models, crafted inputs that force a wrong classification. The other is using AI in defense. Building both into conventional cybersecurity education is how the training program in this award reads.
3Six awards under the same name
Within our collection, six awards carry titles beginning "CyberAI SFS:". A shared naming pattern indicates these are not initiatives individual universities happened to devise but a cohort selected against one common solicitation. Read one at a time they look like separate campus stories; laid side by side they show a distribution the program deliberately made across several schools at once.
4AI is both an instrument of defence and a thing defended
Secure and Trustworthy AI, in the title, holds two directions: defending with AI, and defending AI itself. Under one phrase, the thinking required runs opposite ways.
Building both into conventional cybersecurity education is how this training program reads. SFS, Scholarship for Service, supports tuition and living costs in exchange for a commitment to work in government for a set period after graduation. Where research awards fund the making of knowledge, this program funds the movement of people.
Why it matters
Funding aimed at securing people is measured differently from research funding: the result is not papers but how many were trained and where they went. In a field with a wide pay gap against the private sector, tying scholarships to a service obligation can be the principal supply route. Awards of the same kind distributed to several schools at once read as policy trying to secure volume.
FAQ
What is SFS?
What does "secure and trustworthy AI" cover?
Is the figure of six awards published by NSF?
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: 2622415