In recent years the SolarWinds and Log4j breaches have spotlighted the importance of software supply chain security. Hackers have become increasingly sophisticated in their methods and now target the cloud-based software that organizations rely on, leading to significant security breaches. It’s essential for organizations to prioritize their security posture by implementing best practices for software supply chain security.

With the establishment of the EU General Data Protection Regulation (GDPR) and the expanding international landscape of data protection laws, organizations today face complex requirements and heightened scrutiny when it comes to data privacy. In addition, public awareness of data exploitation and digital surveillance is growing, and individuals are more concerned than ever about data privacy.

We’ve entered the fourth and final week of National Supply Chain Integrity Month, an initiative started by CISA and other government agencies to highlight the importance of securing our nation’s most critical systems and ensuring they stay resilient. I started off the month with a post about maturing your third-party risk management program, and followed that up with two more posts dedicated to securing the small business supply chain and streamlining procurement.

In today’s ever-changing business landscape, managing risk is crucial for the success and longevity of any organization. From financial risks to operational risks and cyber threats, businesses face a range of challenges that require a robust and secure risk strategy. With the complexities of modern business, risk management can no longer be put on the back burner, and companies will need to keep up with the latest practices and solutions to stay afloat.

There is a huge category of different vulnerabilities that arises due to ineffective or absent control and relates to insecure design practices. Those vulnerabilities are found in various systems, including software, applications, network protocols, and hardware devices, and are a major concern nowadays.

As fraud continues to grow in prevalence, SecOps teams are increasingly investing in fraud prevention capabilities to protect themselves and their customers. One approach that’s proved reliable is the use of log analytics and telemetry data for fraud prevention. By collecting and analyzing data from various sources, including server logs, network traffic, and user behavior, enterprise SecOps teams can identify patterns and anomalies in real time that may indicate fraudulent activity.

Procuring cybersecurity or enterprise resilience software is a multifaceted consideration, typically owned or heavily influenced by technical stakeholders like the CSO, CIO or CTO. But paradoxically, some of the best insights as to whether a particular software or technology is the right choice for your organisation can be gleaned by considering non-technical factors.

Early 2023 has been characterized by an explosion of Artificial Intelligence (AI) breakthroughs. Image generators and large language models (LLMs) have captured global attention and fundamentally changed the Internet and the nature of modern work. But as AI / Machine Learning (ML) systems now support millions of daily users, has our understanding of the relevant security risks kept pace with this wild rate of adoption?

Security Monitoring is the catch-all name for the process of detecting threats and managing security incidents. It’s generally broken into two phases: In this article, let's take a look at what security monitoring means and how it forms the foundation for your cybersecurity posture.

As more organizations embrace containerization and adopt Kubernetes, they reap the benefits of platform scalability, application portability, and optimized infrastructure utilization. However, with this shift comes a new set of security challenges related to enabling connectivity for applications in heterogeneous environments.