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Enterprise AI orchestration must account for agents working across the data, applications and infrastructure businesses already use.
Summary
As organizations move beyond experiments, running those systems consistently brings questions of access, oversight and operational control into sharper focus. Those deployment challenges will help shape the discussion at IBM TechXchange 2026, taking place Oct.
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 760 other articles touching the same topic (hybrid cloud, sovereignty, nyse:ibm) , see the full security news archive.
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