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Enterprises racing to put AI agents into production are discovering that role-based access control, not model choice, decides whether those agents can be trusted.
Summary
Rising inference costs, privacy worries and sovereignty demands are also pulling more AI workloads back inside corporate data centers.
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 518 other articles touching the same topic (#thecube, agentic ai, paul gillin) , see the full security news archive.
Relevant from KazaSec
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