Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Accelerating Cloud Security Outcomes Together: Why Arctic Wolf and Wiz are Redefining What's Possible

Across every industry, one thing has become abundantly clear: Cloud security has never been more critical, nor more complex. Organizations are scaling cloud environments faster than ever, but the explosion of identities, configurations, and services has created an attack surface that traditional approaches simply can’t keep up with. Teams are drowning in alerts, struggling to identify which issues matter, and facing increasing pressure to respond to threats with limited resources.

How to Protect Sensitive Data in Cloud Storage Systems

Cloud storage is now a normal part of daily work for both people and companies. It helps teams work together on shared files and makes backups simple. Services like Microsoft OneDrive, iCloud, and Google Drive are easy to use and widely available. But that ease can also create risk: sensitive data still needs strong protection. Protecting it in cloud storage takes several layers, including solid technical controls, clear company rules, and ongoing attention to new risks.

How Hybrid Work and Cloud Adoption Are Changing Enterprise Ransomware Risk

Five years ago, enterprise ransomware risk was mostly a perimeter problem. Today it’s an identity problem, a visibility problem, and a cloud configuration problem, all at once. Hybrid work and cloud adoption didn’t just shift where people work. They fundamentally changed where ransomware attacks begin, how far they reach, and how long they go undetected.

What Is SASE? And How Is It Different From A VPN?

Many companies are used to the idea of operating a virtual private network (VPN), but SASE is becoming much trendier lately. It's changing the way companies work and fundamentally rewriting their security architecture. So, what exactly is SASE, and how can it help your business?

How to Build a Disaster Recovery Architecture on AWS with Veeam

Most organisations know they need disaster recovery. Far fewer know what a well-designed DR architecture actually looks like. The gap between “we have backups” and “we can recover our business in under an hour” is architectural. It’s the difference between storing copies of your data somewhere offsite and building a recovery environment that’s been pre-configured, tested, and ready to take over when your production systems fail.

Beyond the Blind Spot: Achieving Data Mastery with Netskope at Currys

You can’t control what you can't see. Currys is fixing this, using data analytics and data stitching to correlate information across various endpoints to create a holistic view of its cloud environment. Netskope provides the core technology and DLP engine that powers Currys data protection strategy. Together, they built a mature data loss prevention (DLP) strategy, a model which is user-centric, allowing the business to drill into specific user behaviors rather than just focusing on applications.

How Cloudflare responded to the "Copy Fail" Linux vulnerability

On April 29, 2026, a Linux kernel local privilege escalation vulnerability was publicly disclosed under the name "Copy Fail" (CVE-2026-31431). Cloudflare’s Security and Engineering teams began assessing the vulnerability as soon as it was disclosed. We reviewed the exploit technique, evaluated exposure across our infrastructure, and validated that our existing behavioral detections could identify the exploit pattern within minutes.

How to Harden AI Agents in Cloud Environments: The 9 Capabilities Your Stack Must Provide

Most “hardening” advice for AI agents is a checklist of things to configure before the agent runs. CIS Kubernetes Benchmark gates. Pod Security Standards baselines. NetworkPolicy templates. None of it’s wrong — it’s just one of four phases, the one your stack already covers. The other three are Observe, Enforce, and Reconcile. They’re where AI agents actually get breached, and they’re where most stacks have nothing.