Carrez calls this 'the survival problem,' and it forms part of his definition of sovereignty - digital, data, AI, and so on. He says, 'A lot of people are just talking about digital sovereignty as like a catchphrase for a bunch of things.'
"World Cloud Security Day is a useful reminder to recognize how much cloud risk now comes down to everyday access decisions and overlooked misconfigurations," says James Maude, Field CTO at BeyondTrust.
The attacks forced a reckoning with one of the most consequential design flaws in global digital infrastructure: the concentration of military and civilian data on the same physical servers, in facilities that could become military targets the moment a conflict begins.
When civilian banks, logistics platforms, and payment processors share physical data center infrastructure with military AI systems, those facilities become legitimate military targets under international humanitarian law - and the civilian services housed inside lose their legal protection.
The most dangerous assumption in quality engineering right now is that you can validate an autonomous testing agent the same way you validated a deterministic application. When your systems can reason, adapt, and make decisions on their own, that linear validation model collapses.
The program, which stands for Solana Trust, Resilience and Infrastructure for DeFi Enterprises, moves away from the traditional model of one-off audits and replaces it with continuous, foundation-funded protection scaled to each protocol's size and risk profile.
I've always had what I would consider a hacker mindset, a curiosity to take things apart, understand them, and use that knowledge to solve problems. That mindset took me on a circuitous route into the cybersecurity industry; after being kicked out of high school for hacking computer systems, I worked a range of jobs, managing office supply companies by day and cracking Wi-Fi networks by night until I started a Digital Forensics degree which led me to the world of security research.
Rhyne's attack involved unauthorized remote desktop sessions, deletion of network administrator accounts, and changing of passwords, showcasing significant security vulnerabilities.
Unverified and low quality data generated by artificial intelligence (AI) models - often known as AI slop - is forcing more security leaders to look to zero-trust models for data governance, with 50% of organisations likely to start adopting such policies by 2028, according to Gartner's seers. Currently, large language models (LLMs) are typically trained on data scraped - with or without permission - from the world wide web and other sources including books, research papers, and code repositories.
