Texas AI Docket

UT San Antonio builds a free training platform where students learn to find the security flaws in code an AI wrote

Research and scienceNational Science FoundationBexarWrite to the decider

The National Science Foundation funds a UT San Antonio project led by Nishant Vishwamitra of the College of AI, Cyber and Computing. Its platform, OpenSecCoder, will teach students to work with code an AI tool generated and to find and fix its security problems in a sandbox. Each lab gives a student a coding agent, a terminal and a debugger. The release says most of the labs need no programming background. It projects how many students a year the project will reach, together with the University at Buffalo. The platform and labs are still being built and no result is reported.

How to take part

The grant is awarded and no vote is open. The platform is described as free and online once it is built. The College of AI, Cyber and Computing at UT San Antonio is the contact for the project.

Where to do it

Where

Timeline

  1. effective

    UT San Antonio announces the funded project, the date of the release

  2. Today

How this decision moved

One dated line per check, oldest first. A line that says nothing changed means somebody looked and it had not.

  1. 2026-10-11

    Admitted to the record on UT San Antonio's own release. The platform is still being built and the student reach is a projection.

The evidence

Every fact above rests on one of these. The words are the source's own.

Vishwamitra is leading the $500,000 National Science Foundation–funded project to train students, before they enter the workforce, to spot security risks in AI-generated code.
UT San Antonio, Keeping the code safe, September 23rd, 2026 Primary source, official · news.utsa.edu
OpenSecCoder, a free online learning platform developed through the project, will teach students to work with AI-generated software code and practice finding and fixing security problems in a safe environment.
UT San Antonio, Keeping the code safe, September 23rd, 2026 Primary source, official · news.utsa.edu
This opens an interface that includes step-by-step instructions; a coding agent, which serves as the AI tool; a terminal for executing commands; and a debugger for identifying vulnerabilities.
UT San Antonio, Keeping the code safe, September 23rd, 2026 Primary source, official · news.utsa.edu
The project is expected to reach about 600 undergraduate and 400 graduate students each year in collaboration with the University at Buffalo.
UT San Antonio, Keeping the code safe, September 23rd, 2026 Primary source, official · news.utsa.edu
Five of the eight labs will require no programming background, opening the training to students outside traditional computing fields.
UT San Antonio, Keeping the code safe, September 23rd, 2026 Primary source, official · news.utsa.edu
"Agents are built to finish the task and security is usually what gets sacrificed," Vishwamitra said, adding that the code could end up in health care, finance, critical infrastructure, and defense systems.
UT San Antonio, Keeping the code safe, September 23rd, 2026 Primary source, official · news.utsa.edu

Questions about this decision

Answered from the record itself. Every answer is assembled from stored fields, so an answer the record has no basis for is left out rather than guessed.

What is this decision?

The National Science Foundation funds a UT San Antonio project led by Nishant Vishwamitra of the College of AI, Cyber and Computing. Its platform, OpenSecCoder, will teach students to work with code an AI tool generated and to find and fix its security problems in a sandbox. Each lab gives a student a coding agent, a terminal and a debugger. The release says most of the labs need no programming background. It projects how many students a year the project will reach, together with the University at Buffalo. The platform and labs are still being built and no result is reported.

Who decides it?

National Science Foundation decides. The record names the deciding body for every entry it carries.

Can the public take part?

The grant is awarded and no vote is open. The platform is described as free and online once it is built. The College of AI, Cyber and Computing at UT San Antonio is the contact for the project. No dated public window is on the record. The deciding body is named and reachable.

Where in Texas does it apply?

It covers Bexar County in the San Antonio-New Braunfels, TX area.

Has it been decided?

It has been decided. The dates on the item page carry when.

What happens next?

No future date is on the record. The last dated step on it was effective on September 23rd.

When did it start?

The earliest date on its record is September 23rd, 2026.

What kind of decision is it?

It is filed under research and science.

What sources back it?

One source backs it. It is primary.

When was it last checked?

Every fact on it was last verified against its source on October 11th, 2026.

Cite this

Texas AI Docket, UT San Antonio builds a free training platform where students learn to find the security flaws in code an AI wrote. Tracked since September 23rd, 2026. Last verified October 11th, 2026. https://texasaidocket.com/item/tx-2026-0213/. Reuse permitted under CC BY 4.0 with attribution. The same entry is in the docket JSON as item tx-2026-0213.

Beat

Filed under Research and science, with every other decision on that beat.

Last checked 2026-10-11