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As open-weight models close in on the performance of proprietary frontier systems, enterprises are gaining a credible way to run generative AI on hardware they own.
Summary
That shift puts the data already sitting in corporate storage at the center of the private AI conversation.
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 548 other articles touching the same topic (ashish dhawan, data infrastructure, netapp insight 2026) , see the full security news archive.
Relevant from KazaSec
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