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Enterprise AI is moving past experimentation, and the infrastructure decisions behind it are becoming business decisions.
Summary
As companies put AI into production, the conversation is expanding beyond models and GPUs to the data, infrastructure and operating models required to support AI at scale.
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 414 other articles touching the same topic (ai leadership, ai sovereignty, production ai) — see the full security news archive.
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