The convergence of application development, artificial intelligence and security is transforming how organizations build and maintain software, driving the rise of DevSecOps. AI-driven automation is ...

From AI-driven security design reviews to workflow analysis, dependency graphing, and runtime detection and response, these startups bake security into every stage of the application life cycle. The ...

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 ...

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, ...

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 ...

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 ...

Experts say the leaks highlight how fast-growing AI firms may be prioritizing innovation over basic DevSecOps hygiene, leaving valuable intellectual property and data at risk. Nearly two-thirds of the ...

There are four stages of startup development as their IT infrastructure matures. Consider the first phase, which is generally thought of as the foundation stage: This is when the startup needs to ...