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LAS VEGAS -- Predictions that governance concerns, data gravity and more accessible AI models would prompt enterprise private AI growth on-premises are showing signs of coming true.
Summary
Speakers and attendees at VMware Explore this week shared their experiences running open-weight and open source AI models on-premises and developing AI agents, along with some shifts in thinking about the feasibility of private AI. Broadcom has taken an opinionated stance on the advantages of private cloud over public cloud services since it acquired VMware in 2023, and officials continue to maintain that most enterprise AI workloads will eventually return on-premises.
This summary is a partial excerpt, the source's own feed cuts off here. Read the full story at Techtarget for the rest.
KazaSec's take
Most public cloud incidents trace back to a misconfiguration, an overly permissive IAM role, a storage bucket left open, a default setting nobody revisited, rather than a flaw in the cloud provider itself. A cloud security review is built to catch exactly that class of mistake before it's found the hard way.
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