Call for Chapters: Secure Software Engineering in AI and Cloud Native Architectures

Editors

Akshay Mittal, PhD at University of the Cumberlands, United States
Elyson De La Cruz, Adjunct Professor, University of the Cumberlands, United States

Call for Chapters

Proposals Submission Deadline: June 21, 2026
 Full Chapters Due: September 13, 2026
 Submission Date: September 13, 2026

Introduction

The rapid convergence of artificial intelligence (AI) and distributed cloud-native architectures represents a paradigm shift in modern software engineering. While AI introduces unprecedented capabilities for automation, scaling, and operational efficiency, it simultaneously creates a vastly expanded and highly complex attack surface. Traditional, perimeter-based security models are fundamentally inadequate for dynamic, serverless environments infused with machine learning models and AI-generated code. This book introduces the concept of "AI-Native Security"– a proactive approach where AI is securely integrated into the entire software development lifecycle (DevSecAIOps) and where Zero Trust architectures are redefined for autonomous agents and non-human identities. It addresses the critical need for robust, scalable defense mechanisms in an era where AI serves as both the target and the weapon of choice for emerging cyber threats.

Objective

The primary objective of this book is to bridge the critical gap between theoretical AI security concepts and practical, enterprise-grade cloud-native implementation. The current literature heavily focuses on either general cloud security or theoretical adversarial machine learning, leaving a void for actionable, research-backed frameworks. This publication intends to establish a comprehensive methodology for DevSecAIOps, providing practitioners and researchers with over 50 validated implementation checklists, policy-as-code templates, and continuous threat modeling protocols. By synthesizing academic rigor with real-world case studies of AI vulnerabilities (such as LLM prompt injection and CI/CD pipeline supply chain attacks), this book advances the field by transitioning theoretical vulnerabilities into mitigated, measurable security postures. It seeks to redefine Zero Trust for AI systems, ultimately equipping organizations to build resilient, AI-augmented software securely.

Target Audience

This book is geared towards a diverse demographic of technology leaders, researchers, and operational professionals. The primary audience (65%) consists of industry practitioners, including Chief Information Security Officers (CISOs), security architects, DevSecOps engineers, platform engineers, and software developers who are actively integrating AI into cloud-native production environments. The secondary audience (20%) includes academic scientists, graduate students, and university faculty conducting advanced research in adversarial machine learning, software engineering, and cloud infrastructure. Additionally, this text will greatly benefit compliance, audit, and risk management professionals (15%) who require concrete frameworks to navigate emerging AI governance standards (such as the NIST AI Risk Management Framework and the EU AI Act) and accurately assess organizational security maturity.

Recommended Topics

Theoretical foundations of AI-driven cyber threats and defensive countermeasures Adversarial Machine Learning (AML) and Attack-Defense Dynamics Implementing DevSecAIOps in modern Software Development Lifecycles (SDLC) Automated static and dynamic security testing (SAST/DAST) for AI-generated code Intelligent, machine learning-enhanced CI/CD pipeline security AI-enhanced software supply chain security and Software Bill of Materials (SBOM) monitoring Continuous threat modeling and Infrastructure-as-Code (IaC) security Zero Trust Architectures for non-human AI identities, APIs, and autonomous agents Mitigating the OWASP Top 10 vulnerabilities for Large Language Models (LLMs) Data-centric machine learning security (differential privacy, federated learning, homomorphic encryption) AI governance, ethics, and regulatory compliance-as-code frameworks Autonomous Security Operations Centers (SOC) and incident response agents Crypto-agility and post-quantum security preparation for cloud systems

Submission Procedure

Researchers and practitioners are invited to submit on or before June 21, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 5, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by September 13, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Secure Software Engineering in AI and Cloud Native Architectures. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

June 21, 2026: Proposal Submission Deadline
July 5, 2026: Notification of Acceptance
September 13, 2026: Full Chapter Submission
October 25, 2026: Review Results Returned
November 22, 2026: Final Acceptance Notification
November 29, 2026: Final Chapter Submission

Inquiries

Akshay Mittal PhD at University of the Cumberlands akshaycanodia@gmail.com Elyson De La Cruz Adjunct Professor, University of the Cumberlands elysondc@ieee.org
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