What does a good DevSecOps pipeline should look like from a code security perspective? We hear this question often, and even though there are multiple answers, we’ve put together a blueprint that everybody could easily start with.

Often security engineers find it difficult to scale secure code review processes either due to lack of funding, adoption to smaller sprint cycles or even security engineers failing to integrate security to agile philosophy. This post talks about various ways to address such challenges.

The integration of machine learning into software development is revolutionizing the field, automating tasks and generating complex code snippets at an unprecedented scale. However, this powerful paradigm shift also presents significant challenges including the risk of introducing security flaws into the codebase. This issue is explored in depth in the paper Do Users Write More Insecure Code with AI Assistants? by Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh.