Louisville Institute of Technology (LIT) – Louisville, KY
Louisville Institute of Technology builds practical AI, automation, cybersecurity, and workforce technology learning through real implementation and human-centered systems.
A security finding becomes actionable when it has a stable issue ID, an accountable owner, reproducible evidence, and a defined repair-and-retest result. Use only on systems you own or are authorized to test.
An AI-assisted code finding is not yet an accepted defect, and an accepted defect is not yet a verified repair. Keep proposal, human decision, patch, and retest evidence separate.
AI-assisted code review can expose secrets or private records when the test fixture is careless. This defensive method uses synthetic data, human authorization, scoped review, repair, retest, and evidence.
A backup is more useful when an authorized owner can restore and verify it. This defensive drill uses synthetic data, a separate restore location, and a six-field evidence log.
Remote help should be time-bounded, owner-approved, observable, and closed with evidence. This defensive four-stage test keeps credentials, private logs, and unnecessary access out of the workflow.
Account recovery should be tested before a crisis—only on accounts you own or are authorized to manage. This defensive drill uses non-secret evidence and NIST’s current recovery concepts.
Third-party access can outlive a project unless the owner, scope, end date, revocation, and retest are documented. This defensive five-field method stays inside systems you own or are authorized to manage.
A six-layer technical architecture converts a Louisville workforce op-ed into a bounded, auditable, teacher-led AI pilot with clear data and stop controls.
Passkeys, multi-factor authentication, and recovery codes solve different account-security problems. This owner-authorized test separates daily sign-in protection from emergency recovery.
How Jayden Tran, 12, a Noe Middle School seventh grader, shaped Cinderfall through creative direction and revision—and what learning science says about building with AI.
