Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Room Where V2 Happens

I ran the same internal AI workshop twice in one week. Same content, same agenda, same Zoom link, just offered at multiple times to cover different schedules. By the second session, half of my material was wrong. Between the two scheduled sessions, something had changed. In the first session we couldn't use the skills feature in Claude. By the second, we could. Nothing dramatic happened.

IAM for DevOps: How to Secure Distributed Teams, CI/CD Pipelines, and Privileged Access

Your DevOps team doesn't log into one app from one office. They're in cloud consoles, Git repos, CI/CD pipelines, and production, often at 2 am, often from home. IAM for DevOps has to work for that reality, not the one from 2016. Traditional identity and access management was built for employees signing into a handful of business apps from a managed laptop. But the DevOps team blew past that model years ago.

Independence is the moat

Why the independent layer keeps winning as the models get better, not despite them. This series has been building to one question, and it is the objection every honest reader has been holding since the first piece. If the frontier models keep getting better this fast, why does an independent security layer keep winning? Why not wait for the model that writes safe code and verifies its own work?

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.

6 Incidents that Prove DevOps in Healthcare Needs a Recovery Plan

Healthcare cybersecurity is usually discussed in terms of patient data and regulations like HIPAA. But software teams in healthcare need to protect the development layer with the same rigor. After an incident, teams need a trusted record of the codebase and the project context around it. Without this safeguard, they’re guessing at what changed and what’s safe to restore.

Why You Must Still Review AI Code

In this video, we break down why skipping code reviews is a massive mistake that will ultimately slow you down, leave you vulnerable, and compromise your system's accountability. We dive into three concrete reasons why reviewing AI-generated pull requests actually makes you a faster, safer developer, including a real-world story of a production bug caught in under 90 seconds. Resources Chapters.

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.

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.

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.