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 the modern digital era, security can no longer be viewed as an afterthought or a final step in the software development lifecycle. In...

Over the past few months, I’ve shared a range of thoughts on modernization, primarily focused on the functional design of software....

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...

Security is not something we can ever take for granted and no matter how secure a company’s infrastructure and firewalls are, a security...

This article first appeared on Snapt. I previously addressed the need to design secure applications and test for security during...

The following article first featured on Snapt. We constantly read about leaks and security attacks that hit well-known applications....

Modern applications are exposed to constant security threats. Malicious actors will try to uncover and exploit any vulnerabilities to...