In today's dynamic tech ecosystem, the need to manage AppSec programs at scale is paramount. As codebases expand and threats become more sophisticated, the emphasis is transitioning from addressing singular vulnerabilities to building cohesive security postures throughout all development teams.

The leaves are turning brilliant colors before they fall off and blow away here where I live just a few minutes outside of Salem, Massachusetts where autumn — Halloween specifically — is a very big deal. I’m not morbid but it’s a natural time to think about how things wind down and finally breathe their last breath. Nothing lasts forever. Not trees. Not animals. Not people. Not cars. Not houses. Not software. Especially not software.

Following the rush to Artificial Intelligence (AI), many companies have introduced new tools and services to the software supply chain. Some of today’s most popular AI development tools include: This assortment of tools can be used to develop a wide range of AI applications, such as chatbots, virtual assistants, and image recognition systems.

The widespread success and influence of Microsoft Visual Studio (VS) Code can be largely credited to its extensibility. While it's often categorized as a code editor, with the right knowledge and extensions, it can be so much more. For instance, it can also be used as a web browser, word processor, or file-management system. Microsoft also encourages developers to take advantage of VS Code's extensibility by making the VS Code API as accessible as possible.

We’ve seen how technology can evolve at warp speed, and AI has emerged as both a revolutionary force and a tantalizing enigma. Whether you're a seasoned developer seeking to expand your toolkit or a security enthusiast on a quest for clarity in the realm of AI, embarking on the journey to demystify this dynamic field can be both exhilarating and overwhelming.