Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data sovereignty means that data is subject to the laws and governance of the country where it is stored or processed. In simpler terms, if your AI system stores user data in Germany, you’re bound by EU’s GDPR rules — even if your company operates from the U.S. As AI and large language models (LLMs) become central to business operations, data sovereignty is no longer just a compliance checkbox.

AI agents aren’t waiting in the wings anymore. They’re approving payments, spinning up cloud resources, and pulling sensitive data at machine speed. Blink, and a swarm of them has already acted a thousand times before anyone can check the logs. But with all that speed and capability comes risk. For many teams, it’s the authentication model—not the tech—that’s breaking.

I have never been one to jump on most technology bandwagons early; I am very pragmatic about what technology can do rather than what it promises. This extends to generative AI. I was not the first to play with ChatGPT and Gemini when they came out in the early 2020s. Maybe it’s because I work in fields that use machine learning very effectively. Even though I was aware of the leap Google made in 2012, I wasn’t eager to dive into the new wave of AI when it first appeared.

In early September 2025, attackers used a phishing email to compromise one or more trusted maintainer accounts on npm. They used this to publish malicious releases of 18 widely used npm packages (for example chalk, debug, ansi-styles) that account for more than 2 billion downloads per week. Websites and applications that used these compromised packages were vulnerable to hackers stealing crypto assets (“crypto stealing” or “wallet draining”) from end users.

The era of agentic commerce is coming, and it brings with it significant new challenges for security. That’s why Cloudflare is partnering with Visa and Mastercard to help secure automated commerce as AI agents search, compare, and purchase on behalf of consumers. Through our collaboration, Visa developed the Trusted Agent Protocol and Mastercard developed Agent Pay to help merchants distinguish legitimate, approved agents from malicious bots.