Noah Airmet

Provo, Utah / graduating 2027

Hello / 01

I build software and study how AI should be governed.

Cybersecurity student at BYU and junior developer at Simplicity Group. I’m interested in practical AI governance: clear controls, honest evidence, and systems people can actually understand.

College student. Still learning. Serious about the work.

Measured context / 04

Two things I can actually quantify.

Snapshot · Jul 2026

Independent project

1,067 talks indexed

Pulpit currently has 30 of 351 catalogued conferences loaded.

30 loaded351 total

Broader field · not an AI GRC forecast

+29% projected growth

U.S. information-security analyst employment, 2024–2034.

182.8k2024234.9k2034
SourcesPulpit live scope ↗U.S. BLS projection ↗

Selected work / 02

2 projects

Project / 01

AI governance field guide

A theory-first learning project connecting AI capabilities and institutions to the controls practitioners use in real organizations.

Why
I wanted a route into AI GRC that begins with how the systems work—not a glossary of frameworks.
Method
Each unit ends in a practical artifact: an assumption register, control map, stress test, or decision memo.
Status
Active study project. It will stay candid about what is complete and what is still being learned.
Follow the work on GitHub

Project / 02

Governing agent systems

Hands-on experiments with agent-operated systems: what an agent may do, what it must record, and where a person should be able to intervene.

Question
How do you keep authority and accountability legible when software can act for long periods on someone’s behalf?
Mechanisms
Scoped capabilities, append-only records, review gates, escalation, and rollback.
Value
The experiments give me concrete systems to examine instead of treating AI governance as policy text alone.
See related experiments