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Innovation at Speed: Why Machine Identity Security Is Now a Boardroom Priority

CEOs across the manufacturing sector remain optimistic about the potential of digital transformation to boost productivity, efficiency, and competitiveness. Yes - manufacturers face a double bind - innovate fast (and potentially feel pain) or risk falling behind; but every step forward expands the attack surface. This sits alongside a stark reality: the manufacturing sector now suffers 26% of all cyberattacks, making it one of the most targeted industries globally. However, the most significant emerging threat is not always the one that leaders expect.

DevSecOps Tools for Continuous Security Integration

If you’re an engineering manager in 2026, it’s almost certain you’re already exploring DevSecOps tools… by necessity as much as by choice. The reasons are clear: security is no longer a side concern or a tick-box for regulated industries. Even non-regulated businesses now face rigorous customer security questionnaires, growing SOC 2 and supply chain requirements, and persistent threats (especially related to AI-generated code) that make security non-negotiable.

Inside Cloud Malware Analysis: Techniques and Real-World Use Cases

Cloud environments power modern business, but they also attract sophisticated malware. Attackers target cloud storage, virtual machines, and APIs to hide malicious code and steal sensitive data. This guide explains cloud malware analysis in clear terms. It covers key techniques and real examples to help security teams spot and stop these threats.

Cybercrime's New Goal: It's Not Your Data, It's Your Time

The economic model of cybercrime is shifting from stealing data to creating time drag on the systems that keep the business running. Loud ransomware taught everyone to expect clear incidents, but quieter attacks now focus on prolonged disruption, where boards pay to restore growth and confidence without ever declaring a cyber event.

What happens after the attack: From cybersecurity to cyber resilience

Cybersecurity plays a critical role in preventing attacks through controls such as firewalls, endpoint protection and email security. Despite these investments, breaches still happen. According to the World Economic Forum, 87% of respondents identified AI-related vulnerabilities as the fastest-growing cyber risk in the past year.

AI agents are forcing a reckoning with identity and control

Most organizations never planned for AI to start making real decisions. They started with simple helpers. An agent answered basic questions or generated small automations so teams could avoid opening another IT ticket. It felt harmless. But as these agents become more capable and more autonomous, they begin operating across systems at machine speed. They connect tools, provision access, and trigger chained actions long after the original request.

How MSPs in Australia can strengthen SME cybersecurity with the Cyber Health Check

Small and medium enterprises (SMEs) across Australia and New Zealand are struggling to secure their operations. The threats they face are constantly growing in both number in severity, but SMEs often lack the time, resources or in‑house expertise to protect themselves. Fortunately, the Cyber Health Check from the Australian Signals Directorate (ASD) offers a simple, practical way for organisations to assess their cyber maturity and understand where they can improve cyber protection.

CVE-2026-25253: OpenClaw Bug Enables One-Click Remote Code Execution via Malicious Link

CVE-2026-25253 is a high-severity vulnerability (CVSS 8.8) in OpenClaw (formerly Clawdbot/Moltbot), an open-source AI agent framework. It allows attackers to exfiltrate authentication tokens via a crafted URL, leading to full gateway compromise and remote code execution (RCE) with one click. Disclosed in early February 2026, it affects versions before 2026.1.29.

The AI Blind Spot Debt: The Hidden Cost Killing Your Innovation Strategy

In today’s AI rush, I’ve seen even the most disciplined organizations find it almost impossible to apply the hard-won lessons of DevOps and DevSecOps onto AI adoption. These organizations often feel forced to choose between moving fast and staying in control. As a result, they develop a “wait and see” approach to AI usage and implementation, and it’s creating a new, more dangerous form of technical debt. I call it the AI Blind Spot Debt.