Fully understanding open-source licenses is crucial for your projects and organization. Let's look at where these licenses come from and how they can impact your applications.

Artificial intelligence (AI) is the term on everyone's lips. As a powerful tool that can simplify our daily lives, it has become a technological revolution that impacts us all.

By now, you have probably heard about the recently discovered backdoor into versions 5.6.0 and 5.6.1 of the tarballs of the xz utilities, a popular compression/decompression library for xz files, which provides unauthorized remote access under certain conditions. This vulnerability was reported under CVE-2024-3094. Andres Freund, of Microsoft, who discovered the vulnerability, summarized it well.

Today, every organization has significant investments in their overall tech stack, both financially and operationally, and as technology evolves, it is crucial that we keep pace to ensure success. For many organizations, legacy applications house some of their most mission critical applications, and replacing or retiring them would be incredibly costly, monetarily and in terms of productivity. With application modernization, businesses can now skip the hassle of completely rebuilding applications.

Everyone knows that running outdated computer applications comes with annoyances and risks. An outdated application might face performance issues or just become slower than modern versions. It might face compatibility issues and have limited functionalities. It might lose technical support and even fail to meet current industry standards and regulations, which could put your organization at risk for non-compliance penalties and legal action.

There has been widespread discussion about the potential impact of AI on society. While the UK Government has played an active role in shaping the conversation around the security and safety of AI, it has also demonstrated its intention to embrace AI where productivity and efficiency benefits may be found.

Software development teams face a constant dilemma: striking the right balance between speed and security. How is artificial intelligence (AI) impacting this dilemma? With the increasing use of AI in the development process, it's essential to understand the risks involved and how we can maintain a secure environment without compromising on speed. Let’s dive in.

In a landmark development, the U.S. Department of Homeland Security (DHS) has unveiled its pioneering Artificial Intelligence Roadmap, marking a significant stride towards incorporating generative AI models into federal agencies' operations. Under the leadership of Secretary Alejandro N. Mayorkas and Chief Information Officer Eric Hysen, DHS aims to harness AI technologies to bolster national security while safeguarding individual privacy and civil liberties.