Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Containers have become the backbone of modern DevOps, but they also introduce new security headaches. A single vulnerable base image or misconfigured container can snowball into a major breach across dozens of services. In fact, recent research found that about 75% of container images carry high-severity or critical vulnerabilities. Add to this the 2025 trends of supply chain attacks and ever-evolving CVEs, and it’s clear that container scanning tools are a must-have.

SOC 2 and HIPAA are widely adopted security standards aimed at protecting in-scope organizations and the sensitive data they process from cybersecurity threats. While they have the same overarching security goal, HIPAA and SOC 2 differ in a few major aspects, and their implementation specifics can also vary considerably. ‍ Depending on your security posture and compliance needs, you may need to implement one or both frameworks.

Lately, the common theme in emerging identity security technology has been… well, you know. AI. It’s all anyone wants to talk about. All of us in the IAM business have been scurrying to find a way to tell our customers and the market that, yes! we have AI! we've had it all along! If that were so obviously true, then why are we having to tell you about it now? As an identity security technologist, I’ve experienced the growing pains of AI in IAM.

Cryptographic failures refer to the improper use, implementation, or management of cryptographic systems. These issues often result in unauthorized exposure of sensitive data like passwords, credit card numbers, or personal records. In the OWASP Top 10 – 2021, this category replaced the broader ‘sensitive data exposure’ from the 2017 list, with a sharper focus on the misuse or failure of cryptographic mechanisms.

Logging and monitoring failures occur when security-relevant events are not properly captured, stored, or analyzed, making it difficult or impossible to detect ongoing attacks or respond effectively. These failures include missing logs, incomplete data, ineffective alerting mechanisms, insecure log storage, and inadequate retention policies. Such gaps are often exploited by attackers who rely on invisibility to move laterally across systems.

Managed Service Providers (MSPs) sit on the front line of cyber‑defence for thousands of small and midsize businesses. Yet many still hesitate to add penetration testing (pentesting) to their security stack, largely because of persistent myths—myths that are steadily being dismantled by real‑world breach data. Fresh breach evidence makes the cost of that hesitation impossible to ignore.

The Department of Defense DFARS Cybersecurity Clause, more commonly known as the DoD Cyber Clause (or just DFARS 7012), is the long-standing set of rules the DoD has put in place for all members of the DoD supply chain and defense industrial base. It has also spread beyond those boundaries through the use of DFARS 7012 clauses in contracts for other parts of the federal government.

The hospitality industry’s cybersecurity posture is approaching an inflection point. Businesses are increasingly having to balance cost pressures in a challenging economic environment, while balancing technological innovation with escalating threats. Australia’s regulatory reforms, including heightened penalties and critical infrastructure protections, provide a framework for resilience; yet enforcement gaps will remain.

As a network admin, balancing optimized configurations with compliance requirements often feels like managing competing priorities. With networks growing more complex every day, achieving and sustaining compliance with the Center for Internet Security (CIS) Benchmarks can feel like a constant uphill battle. However, it doesn't have to be an overwhelming burden. The CIS Benchmarks offer practical, best practice guidelines for securing devices, systems, and applications against evolving threats.

The Model Context Protocol (MCP) is an open standard and open-source project from Anthropic that makes it quick and easy for developers to add real-world functionality — like sending emails or querying APIs — directly into large language models (LLMs). Instead of just generating text, LLMs can now interact with tools and services in a seamless, developer-friendly way.