Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing Precursor: detecting agentic behavior with continuous client-side signals

Bot mitigation is an adversarial game: attackers adapt, defenders respond, and the cycle continues. At Cloudflare, we stay ahead by combining visibility across our global network with signals from the client-side environment. At the network level, we analyze over 1 trillion requests per day to understand reputation, patterns, and anomalies across more than 20% of the web.

How the TLS handshake works, and why half of it is gone

Every HTTPS connection starts with a TLS handshake. It’s the security check, answering “are you who you say you are?” and “how are we going to keep this conversation secret?”. There’s a lot going on during the handshake, and there used to be even more before it all got hacked and removed. And that’s useful to understand, the modern TLS 1.3 handshake is short because everything else got compromised.

JADEPUFFER: How an Agentic Ransomware Attack Unfolded

In early July 2026, researchers at Sysdig published an analysis of what they assess to be the first documented case of agentic ransomware. The threat actor, which Sysdig calls JADEPUFFER, launched an extortion attack driven end to end by a large language model (LLM) rather than a conventional human-operated toolkit.

How to maintain code quality standards with AI code and vibe coding

It’s amazing how non-developers have recently been empowered to create their own apps that can even generate revenue. We’ve recently seen progress across the AI development field, from AI being successful in “greenfield code” (apps built from scratch) towards “brownfield code” (larger scale existing applications).

7 AI Governance Tools for Shadow AI Detection

AI adoption has accelerated faster than most organizations’ ability to manage it. Security and compliance teams are now responsible for overseeing machine learning models, large language models (LLMs), agentic AI systems, and shadow AI — often with frameworks and processes that weren’t built for any of it. The gap between deploying AI and governing it responsibly is where risk lives. AI governance tools exist to close that gap.

Exploring the Advancement of Wireless Mouse Technology

In today's digital era, efficient computer interaction has become an essential part of daily life. Among the devices that support this seamless experience, the wireless mouse stands out as a significant innovation. By removing the limitations of traditional cables, it provides users with greater flexibility, improved mobility, and a more organised workspace.

Building Secure Server Rooms: Why Physical Infrastructure Matters as Much as Cybersecurity

What do most IT managers worry about? Ransomware attacks, zero-day exploits, phishing scams. What don't they talk about? Shelves creaking under a rackload of servers, UPS batteries left on the floor out of sight until they're needed. Yet such oversights are just as dangerous as cyberattacks, and easier to solve. While cybersecurity takes all the glory, the physical infrastructure of your server room is often as crucial for its protection and operation.

Why iGaming operators choose Cloudflare Enterprise over bare-metal DDoS scrubbers

A slot machine that stalls for three seconds during a jackpot spin loses more than a session. It loses a customer - often for good. That's the brutal math behind DDoS defense in online gambling, where uptime isn't a metric, it's the product. And increasingly, operators are betting on cloud-native protection over the racks of scrubbing hardware that used to define this space.

Top IT Outsourcing Companies in the USA

Finding an IT outsourcing vendor takes an afternoon, but choosing the right one takes longer. The US market is crowded with companies that offer custom software development, dedicated teams, and endtoend delivery. Many look interchangeable. But in practice, the differences are significant: a vendor strong in healthcare SaaS may have little experience with enterprise legacy systems, and a team built for startup MVPs may struggle as scope, integrations, and compliance demands grow.

What Server Do You Need to Run an AI Language Model?

Running your own AI model sounds exciting, but one question appears almost immediately: what kind of server do you actually need? A small language model can run on a personal workstation, while a large 70B parameter model may require enterprise-grade GPUs and expensive infrastructure. Choosing the wrong hardware can lead to wasted money, unnecessary complexity, or disappointing performance.