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As AI helps software developers generate code faster and automate tasks, it can also introduce security flaws that students may not recognize.
Summary
Nishant Vishwamitra, PhD, assistant professor in the College of AI, Cyber and Computing, hopes to change that.
This summary is a partial excerpt — the source's own feed cuts off here. Read the full story at University Of Texas At San Antonio for the rest.
KazaSec's take
AI-related security incidents are a genuinely new category — prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 149 other articles touching the same topic (ai, cyber & computing) — see the full security news archive.
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