Modern software delivery has transformed how quickly organizations can build and release software. Continuous integration and continuous delivery pipelines enable teams to deploy updates frequently, respond rapidly to customer needs, and iterate faster than ever before. However, this speed can expose a major weakness in traditional security models. Historically, security checks were performed as a final gate before release. Security specialists would review code, run vulnerab

With the rapid rise of AI agents and the emergence of increasingly powerful models, some of which may introduce new security risks, it feels timely to revisit the topic of software security. More importantly, it raises the question of how we can write code, often with the assistance of AI, that remains robust and secure in the face of these evolving threats. Code is written, features are delivered, and only near the end of the development cycle does a security team step in to

When it comes to application security , compliance can often feel like a roadblock: a slow, manual process that lags behind the pace of...

We can secure our access and secure our data ; however, with software the engine driving innovation, it is also a prime target for cyber...

In my previous post, we looked at the importance of focusing on access control and perimeter security. However, protecting the perimeter...

In my previous post, I started to look at modernizing security, starting with software architecture. However, when looking at secure...

In my last post , I looked at some tips on how to write more secure code. However, it’s not just code alone that developers need to...