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2027 Predictions: AI social engineering goes machine scale, and conversations become the new endpoint.
By Rohan Gupta, Co-founder and CEO, Diopter AI For most of the last decade, social engineering was a craft. An attacker researched one target, built a pretext, and worked the phone one person at a time. AI is removing that bottleneck, and I expect social engineering to be running at machine scale in 2027. Security teams will respond the way they did when malware outgrew antivirus, by putting live detection and response where the attack …
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Phison’s Michael Wu on AI Memory Tiering Ahead of SC26
As SC26 approaches, one message is likely to cut through the noise on the show floor: throwing more GPUs at an AI problem doesn’t automatically solve it. In this pre-show Q&A with VMblog, Michael Wu, GM and President of Phison USA, argues that memory capacity, data movement and storage performance are becoming just as critical as raw compute, particularly as longer context windows, agentic workflows and larger datasets strain budgets already under scrutiny. For a …
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Stacklet on AI Governance, Token Custodian, & Policy Control for Cloud and Kubernetes | KubeCon 2026
Stacklet on Governing AI, Cloud, and Kubernetes at Scale | KubeCon + CloudNativeCon NA 2026 Everybody has an AI story at KubeCon this year, but how do you actually govern the agents, models, and tokens …





























