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We see a control gap between what artificial intelligence can do and what the evidence supports trusting it to do.
Summary
A great demo doesn’t prove that a system will stay within the limits of an intended deployment’s goals.
This is a brief wire summary, the full story (linked below) has the complete details.
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 892 other articles touching the same topic (enterprise ai, breaking analysis, david vellante) , see the full security news archive.
Relevant from KazaSec
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We help organizations find and fix the gaps before they make headlines.