Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This is for compliance and security leaders who already know the EU AI Act applies to them and need a concrete control set for where the law actually stands today — not a summary written before the rules changed. Awareness is done; 2026 is the year of implementation, and the rules just moved. On 29 June 2026 the Council of the EU gave its final green light to the Digital Omnibus on AI — the package that resets several of the dates compliance teams have been building toward.

Android is a very popular and prolific operating system on mobile devices such as smartphones and tablets. Most of the time, there is no practical reason to install Android on a physical computer, but there may be some cases when you need to run Android on a virtual machine (VM), for example, when developing applications for Android and testing them. Fortunately, you can install Android on VMware Workstation, VMware Player, VMware ESXi, and VirtualBox.

Firewalls remain one of the most foundational controls in any security program. Nearly every organization has at least one, and in many cases, hundreds. Despite widespread deployment, firewalls are frequently a source of unintended exposure rather than protection. The reason is almost always in how firewall rules are maintained over time, not the technology itself.

UK railway cybersecurity spending is accelerating as ransomware, insider incidents, and IT/OT convergence expose the sector's growing attack surface. Part one of CYJAX's rail security series looks at the numbers behind the trend and what they mean for UK operators.

Let’s catch up on the more interesting vulnerability disclosures and cyber security news gathered from articles across the web this week. This is what we have been reading about on our coffee break! Oh dear, another bunch of missed issues years old…

Confidential and sensitive data moves across the dark web every second of every day, and that stolen data has become a reliable fuel source for breaches. In 2025, reports from Cybernews revealed that researchers had uncovered roughly 16 billion exposed credentials and that artificial intelligence (AI) now accelerates what attackers can do with that data once they have it.

TL;DR Every frontier model launch now comes with the same cybersecurity claim: it finds vulnerabilities. But does it work on a real bug in a real repository, or just on a curated example? Of the dozen models you could pick, which is worth trusting with code review? And since the strongest models cost ten times or more per run than the cheapest, what does that extra spend actually buy you in bugs found?

Summer might mean slightly fewer meetings, lighter inboxes, and the illusion of breathing room (in a perfect world), but we all know that attackers don’t take vacations, so neither should the fundamentals that keep your organization secure. If anything, now is the perfect time to tackle the “homework” that often gets pushed aside during busier quarters. Recent incident patterns continue to reinforce a straightforward reality: breaches are rarely the result of a single control failure.

A high CVSS score tells you how bad a vulnerability could be in theory, and EPSS tells you how likely it’s being exploited somewhere in the world, but neither knows anything about your environment. True vulnerability exploitability depends on reachability: whether the vulnerable code is actually loaded and called at runtime, whether it’s exposed on the network, and whether existing controls already block the path.