As businesses rely more on software to deliver products and services, it is vital to secure their applications against threats such as code injection, data breaches, and privilege escalation.

From autonomous vulnerability remediation to real-time scrutiny of AI-generated code, AI is impacting security at every stage of the software development process. At Black Hat USA 2025 and DEF CON 33, ...

The last few years have seen notable changes in global work environments, with an increasing reliance on applications and associated software to perform vital business functions. Digital ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Artificial intelligence (AI) is accelerating the pace of software development more than ever before. Applications are getting bigger, more complex, more powerful — and there are more of them. At the ...

Companies are moving toward a DevSecOps approach to application development, but problems remain with security testing ownership and open-source code vulnerabilities. Credit: kristina flour; modified ...

Security teams are overwhelmed, development moves fast, and vulnerable code keeps shipping—this is the reality of application security in 2025. Application security has become a strategic issue, not ...

Last year, over 100 cybersecurity professionals participated in Dark Reading's annual State of Enterprise Application Security survey. Their valuable insights illuminated the evolving threat landscape ...

Web security and content distribution networks (CDNs) emerged about twenty years to solve very different problems. Now innovators like Gcore are finding new ways to combine them to improve security ...