If you haven't already, take the time to read Mathew J. Schwartz's piece, Secure Coding Or Bust. The column provides an interesting overview as to why secure software development is important. These ...

Applications are now a primary target for threat actors, yet many organizations still rely on traditional secure software development lifecycles (SSDLCs) that limit their ability to respond to ...

Okta launced a new API Access Management solution Tuesday at its Oktane 16 event in Las Vegas, a move partners said would help them add more security features to their application and development ...

According to computer scientist Alan Kay, "The best way to predict the future is to create it." The concept of software as a service (SaaS) traces back to the 1960s, with time-sharing systems. Fast ...

Many organizations deploy code multiple times per day through automated continuous integration/continuous delivery (CI/CD) pipelines, leaving traditional end-of-cycle ...

The "Global Application Security Market Opportunity and Future Growth Dynamics (Databook) - Market Size and Forecast, Spend Analysis by Industry, Security Type, Deployment, and Enterprise Size - Q2 ...

‘This is a competitive marketplace. In order to win, we need to keep delivering better and better functionality and automation for our customers,’ Invicti President and COO Mark Ralls tells CRN.

Product security teams are becoming more popular for the in-depth security approach they take when compared to appsec teams. But there is more to it, which includes creating a security-conscious ...

For the past several years, application security has been organized around a relatively stable model: developers write code, pipelines build and test it, and runtime controls attempt to catch what ...

The agile project management philosophy values speed, collaboration, communication, and interaction. Here are some best practices for keeping agile security strong. Today’s hyper-competitive business ...

What MCP is in software development, how it connects AI models to tools and data, and why it matters for building scalable AI-powered applications.