Today’s software development lifecycle is moving faster than ever before as enterprises push out new, artificial intelligence (AI)-powered services and features — and, too often, security comes in at ...

AI’s role in software development is reaching a pivotal moment — one that will compel organizations and their DevSecOps leaders to be more proactive in advocating for effective and responsible AI ...

The ever-evolving field of DevSecOps, which seamlessly integrates security practices into the software development lifecycle, is poised to revolutionize the way we approach cybersecurity and software ...

DevOps has become increasingly popular in the technology industry over the past decade. DevOps is a methodology that combines development (Dev) and operations (Ops) teams for the purpose of ...

Taking a more proactive and culture-based approach to security, DevSecOps stresses integrating and maintaining a focus on security in operations and throughout the software development life cycle. The ...

Devsecops is a culture shift in the software industry that aims to bake security into the rapid-release cycles that are typical of modern application development and deployment, also known as the ...

DevSecOps: AI is reshaping developer roles, but it’s not all smooth sailing Your email has been sent A report by GitLab finds that AI and ML in software development workflows show promise, but ...

Software security specialist JFrog is extending its platform to manage artificial intelligence (AI) models with the same rigour as software artefacts, moving to unify DevSecOps, machine learning ...

SaaS organizations lead the pack when it comes to application reliability, scalability, security, and customer satisfaction. Here are 12 principles devsecops leaders can adopt from SaaS. I once ...