Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code as it is created. Artificial intelligence tools are revamping DevSecOps ...

Abstract: DevSecOps integrates security practices from development to operations in the search for faster and more secure responses to business needs. DevSecOps is an approach based on the 4 pillars ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

In 2025, the Communications-Electronics Command Software Engineering Center advanced the Army’s modernization portfolio through scalable software capabilities. Given the Army’s adoption of continuous ...

The concept of DevSecOps has been around long enough that it’s now firmly established in most federal agencies, but using it to produce secure software on a regular basis takes careful planning.

While organisations have mastered high-velocity development, DevSecOps is at risk as security practices lag dangerously behind. This is creating a fragile foundation with a hidden “security debt” ...

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 ...

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Written by John Kamenik, Principal DevSecOps Engineer, Gomboc. For years, DevSecOps has aimed to integrate security seamlessly into every phase of the software development lifecycle. Despite major ...