CXOInsights by CXOCIETY · 2026-07-22 · 17 min
Before Stuxnet, there was fast16 : a state-grade sabotage framework that didn’t steal data or crash systems. It silently altered engineering simulations and calculations - poisoning digital twins while everything appeared normal. Now imagine AI giving attackers the power to find such weaknesses in hours. As Singapore expands protections beyond core CII, fast16 is a warning: tomorrow’s breach won’t hold your data hostage. It will corrupt the simulations and AI models you trust to run your plant, bridge, or refinery. And you won’t know until something breaks. In this PodChats for FutureCISO, Vitaly Kumluk, cybersecurity researcher at SentinelOne Lab, SentinelOne, sheds light on what cybersecurity teams need to know and be prepared against this new breed of cyberthreats. 1. What is the role of a researcher in the cybersecurity space? 2. In a nutshell, what is fast16 and what makes it different from other categories of cyber threats? 3. How do we identify which of our engineering simulations, digital twins, and AI training pipelines are most vulnerable to silent output manipulation - and do we have any validation layer that checks results against physical or independent models? 4.
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