Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A newly disclosed zero day vulnerability, known as RoguePlanet, affects Microsoft Defender on fully patched Windows 10 and Windows 11 systems. The issue was publicly released in June 2026 by a researcher known as Nightmare Eclipse, who has published several Windows related exploits in recent months.

One of the most common questions organisations ask when planning a security assessment is whether penetration testing should be performed against a staging environment or a live production system. At first glance, staging appears to be the safer option. It provides an environment where testing can be conducted without affecting real users, customer data, or operational services.

For organisations considering a penetration test, one of the first questions is often how much it will cost. While this is a reasonable question, the answer is usually not so straightforward. Like many technology products and services, penetration testing is not a commodity. The scope, complexity, and objectives of each assessment can vary which means pricing can vary just as widely.

In May 2026, Redis disclosed a high severity memory safety vulnerability tracked as CVE-2026-23479. The issue affects the Redis server, a widely deployed in memory data structure store used for caching, messaging, and real time analytics across cloud and on premises environments. The vulnerability exists in the client unblocking logic and may allow an authenticated attacker to achieve remote code execution under specific conditions.

In May 2026, the Drupal Security Team disclosed a critical SQL injection vulnerability affecting Drupal core. The issue, tracked as CVE-2026-9082, affects Drupal installations using PostgreSQL and has been assigned a Drupal security risk rating of 23/25. The vulnerability can be exploited by anonymous users, and Drupal has confirmed that exploit attempts are being detected in the wild.

AI-assisted development tools are changing how software is built. From code generation and automated testing to rapid prototyping and full-stack application scaffolding, Large Language Models (LLMs) are increasingly being used to accelerate software delivery across startups, SaaS providers, and engineering teams. In many cases, these tools are delivering genuine operational value.

As organisations continue integrating AI capabilities into customer-facing applications, internal tooling, and operational workflows, the security implications of these systems are becoming increasingly important. Large Language Models (LLMs), AI assistants, and automated decision-making features are now appearing across SaaS platforms, support systems, and enterprise applications, often connected directly to sensitive data and business processes.

A critical vulnerability (CVE-2026-7482), dubbed “Bleeding Llama”, has been disclosed in Ollama, a widely used open-source framework for running large language models (LLMs) locally. With a CVSS v3.1 score of 9.1, the issue is classified as Critical and affects versions prior to 0.17.1. The vulnerability exposes organisations using self-hosted AI infrastructure to significant information disclosure risks.

Understanding the difference between penetration testing and vulnerability assessment is an important part of building an effective security programme. While the terms are often used interchangeably, they serve distinct purposes and provide different types of insight into an organisation’s risk profile. For technology-led organisations, particularly those operating complex SaaS platforms or cloud environments, both approaches have a role to play.

In late April 2026, a critical authentication bypass vulnerability was disclosed in cPanel and WHM, tracked as CVE-2026-41940. The issue affects the login flow of these widely deployed hosting control panels and allows a remote, unauthenticated attacker to gain administrative access. Given the prevalence of cPanel across shared and dedicated hosting environments, the vulnerability represents a significant management plane risk.