Category: Reading

The DevSecOps Playbook: Deliver Continuous Security at Speed by Sean D. Mack.

Sean holds a BS in Computer and Information Sciences from UC Santa Cruz and MBA from Seattle University. He is CIO and CISO at Wiley, VP of Operations and Applications at Pearson, Director of Global Product Development and Delivery at Experian, and Senior Director of Technical Operations at RealNetworks.

In fact, the term Development, Security, and Operations (DevSecOps) stands for a framework that integrates security into all phases of the software development lifecycle. Today more than ever before DevSecOps must deliver continuous security at the speed of business. DevSecOps can only succeed when the organization supports the triad of people, process, and tech to delver strong cybersecurity infrastructure and practices.

To simplify, DevSecOps emphasizes incorporating security measures from the beginning of the development process, rather than treating them as an afterthought or post deployment requirement. This approach identifies and mitigates potential security risks early on.

Sean outlines why it’s critical to shift security considerations to the front-end of the development cycle, how to do this, and how the evolution of a standard security model since the pandemic has impacted modern cybersecurity.

AI at the Edge: Solving Real-World Problems with Embedded Machine Learning by Daniel Situnayake and Jenny Plunkett.

Jenny holds BS in Electrical Engineering in from the University of Texas at Austin. She is a senior developer relations engineer at Edge Impulse. Daniel is Director of ML at Edge Impulse and holds a BSc Computer Networks and Security from Birmingham City University. He is the former Developer Advocate at Google for TensorFlow Lite.

This book is a guide to exploring how machine learning is being implemented on both edge devices and embedded systems. A bit of caution however, both authors are at Edge Impluse and their company product is referenced.

While not surprising, it can be viewed as a marketing product rather than addressing market leading solutions. The target audience is engineering professionals, including product managers and technology leaders.

We continue to deploy Internet of Things (IoT) devices. Many readers will think thermostats like Google Nest and X. However this focus is on industrial, automation, healthcare, agriculture, and autonomous vehicle devices which brings a lot of real-time data and machine learning driven decision-making at the remote device location. It is a very fast paced environment.