Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial intelligence has stormed the enterprise world, and it's not slowing down anytime soon. With thousands of AI-powered applications, from large language models (LLMs) to productivity-boosting copilots, employees are tapping into AI to work smarter and faster. But here’s the rub: while AI can supercharge productivity, it also brings along a Pandora’s box of risks.

When I talk to customers about AI these days, I usually get two very different reactions. Some lean forward, excited about the promise: fewer alerts, faster response, maybe even lights-out SOC operations someday. Others lean back, uneasy about the risks: does this mean attackers will be able to run thousands of hacks at once, automatically? The truth is, both reactions are justified. We are at the start of a shift toward agentic AI. This is not the same as today’s AI copilots that wait for prompts.

Penetration testing is one of the most effective ways to gauge your organization’s cybersecurity readiness. While traditional security tools can block everyday threats, a penetration test (or pen test) demonstrates what might happen if a particularly clever or dedicated threat actor decided to attack your network. A well-executed pen test can reveal unexpected cybersecurity holes in both the technological and human layers at your organization.

In the rapidly evolving landscape of enterprise AI, the ability to seamlessly connect organizational knowledge with intelligent systems is a critical differentiator. While LLMs excel at reasoning and generation, their true potential is unlocked only when they can access and process the vast repositories of institutional knowledge driving your organization’s business decisions.

Modern users expect instant, reliable web experiences. When your application is slow, they don’t just complain — they leave. Even delays as small as 100 ms have been shown to have a measurable impact on revenue, conversions, bounce rate, engagement and more.

Cloudflare is relentless about building and running the world’s fastest network. We have been tracking and reporting on our network performance since 2021: you can see the latest update here. Building the fastest network requires work in many areas. We invest a lot of time in our hardware, to have efficient and fast machines. We invest in peering arrangements, to make sure we can talk to every part of the Internet with minimal delay.

At Fal.Con 2025, I had the privilege of addressing over 8,000 cybersecurity professionals about something that’s on my mind – and should be on all of ours: how do we fundamentally reimagine security for the age of AI? We're living through the fourth industrial revolution. The first brought us steam power, the second electricity, and the third the digital age we all know and love.