Devsecops Transformation Control Framework
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DevSecOps Transformation Control Framework
This quick read book defines the DevSecOps Transformation Control Framework. Providing security control checklists for every phase of DevSecOps. Detailing a multidisciplinary transformation effort calling to action the Governance, Risk, and Compliance teams, along with security, auditors, and developers. The uniqueness of these checklists lies in their phase-specific design and focus on aligning security with the team's existing way of working. They align the skills required to execute security mechanisms with those of the team executing each phase. Asserting that a close alignment, is less disruptive to the team's way of working, and consequently more conducive to maintaining the delivery speed of DevSecOps. The checklists encapsulate alignment initiatives that first enhance tried and tested security processes, like data risk assessments, threat analysis and audits, keeping their effectiveness but adapting them to the speed of DevSecOps. Secondly, it uses container technologies as catalysts to streamline the integration of security controls, piggy-backing off the automated progression of containers through the pipeline, to automate the execution and testing of security controls. Providing a blueprint for organisations seeking to secure their system development approach while maintaining its speed.
Data Governance, DevSecOps, and Advancements in Modern Software
Author: Elbaghazaoui, Bahaa Eddine
language: en
Publisher: IGI Global
Release Date: 2025-04-24
In today’s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection. Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.