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.

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.

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.

Over the last year there has been a prevailing sentiment that while AI will not necessarily be replacing humans, humans who use AI will replace those that don’t.

We recently wrote about npm audit fix, which is an add-on to the excellent npm audit, that has become a fundamental tool for managing software packages in Node.js projects. However, developers working with other languages also require specialized tools for Software Composition Analysis (SCA). At Jit, our tool of choice for SCA scanning across a diversity of programming languages is OSV Scanner, a best of breed OSS solution maintained by Google.

Welcome to the 17th edition of Cloudflare’s DDoS threat report. This edition covers the DDoS threat landscape along with key findings as observed from the Cloudflare network during the first quarter of 2024.

Generative AI is an exciting technology that is now easily available through cloud APIs provided by companies such as Google and OpenAI. While it’s a powerful tool, the use of generative AI within code opens up additional security considerations that developers must take into account to ensure that their applications remain secure. In this article, we look at the potential security implications of large language models (LLMs), a text-producing form of generative AI.

How would you feel about your home security system if it only checked to see if your doors and windows were locked periodically? This security system would provide great visualizations of your house and how a criminal could get from one room to another, ultimately reaching one of your prized possessions, like a safe. However, it doesn’t have cameras on your doorbell or windows to alert you in real time when someone suspicious was approaching, or worse, trying to break into your house.