We hear a lot about the urgency of transition from DevOps to DevSecOps, and with good reason. The ongoing rise in cyberattacks across the software supply chain, coupled with a shifting regulatory landscape, highlights the growing urgency of improving application security. But it’s one thing to recognize the importance of integrating security into the software development process, and another thing to actually succeed at doing so.

More and more organizations are abandoning the outdated waterfall development methodology for more practical and efficient Agile development practices. As this movement has occurred, development teams are moving faster than ever by employing Continuous Integration (CI) and Continuous Deployment (CD) practices that are serving to shorten development cycles and get new features into production faster. This does, however, come with greater security risk in some respects.

With the advent of complex technology ecosystems like agile development processes, cloud-native platforms, and the rising use of open-source software, the importance of continuous Security and compliance has increased more than ever. As a result, leaders in the software industry must advise their teams to incorporate developer-friendly security tools into their DevSecOps pipelines.

Balancing the volume of applications and the increased deployment frequency with the need for security is a struggle for both development and security teams. Recent research indicates that vulnerability management in modern software development has become more complex, with 69% of CISOs acknowledging this challenge. Consequently, many applications are not adequately covered by security scans.

Last week, the godfather of AI, Geoffrey Hinton smashed the glass and activated the big red AI alarm button warning all of us about creating a world where we won’t “be able to know what is true anymore”. What’s happening now with everything AI makes all the other tech revolutions of the past 40 plus years seem almost trivial.