Safeguarding Sensitive Data in the DevSecOps Pipelines: Strategies, Tools, and Best Practices for Modern Software Development

Safeguarding Sensitive Data in the DevSecOps Pipelines: Strategies, Tools, and Best Practices for Modern Software Development

Advait Patel (Broadcom, USA) and Pravin Pandey (Tiffany & Co, USA)
Copyright: © 2025 |Pages: 26
DOI: 10.4018/979-8-3373-0365-9.ch011
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Abstract

This chapter focuses on ways, practices, and resources available to protect data in DevSecOps processes, an essential element of application development. It focuses on software security in the Software Development Life Cycle (SDLC) context, including secure code, data-covering techniques like masking and encryption, and role-based access. Innovative examples of appropriate organizations like Netflix or Capital One show the necessity of performing preventive management of data breaches. Another interesting trend the chapter discusses is zero trust and AI in cybersecurity. Thus, improving DevSecOps strategies will help organizations reduce risks, comply with regulatory requirements, and reign in threats that exploit the advancing technologies.
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