Call for Chapters: Applied Artificial Intelligence for Cybersecurity Operations Centers

Editors

Rahul Patel, Illinois Institute of Technology, United States

Call for Chapters

Proposals Submission Deadline: July 26, 2026
 Full Chapters Due: November 8, 2026
 Submission Date: November 8, 2026

Introduction

---------- MORE DETAILS AT: https://docs.google.com/document/d/1l2a6kOOQR7O58K0QWkX6q469gV6Xo5n7C8iawbO3Xx8/edit?usp=sharing ---------- Security Operations Centers (SOCs) face unprecedented challenges due to the growing volume, velocity, and sophistication of cyber threats. Organizations generate massive amounts of security telemetry from endpoints, networks, cloud platforms, applications, identity systems, and third-party services. Security teams often struggle to manage alert fatigue, resource constraints, evolving attack techniques, and increasing regulatory requirements. Artificial intelligence (AI) has emerged as a transformative capability for modern cybersecurity operations. Machine learning, deep learning, natural language processing, large language models, generative AI, and autonomous agents are increasingly being integrated into SOC workflows to improve threat detection, accelerate incident response, enhance security analytics, automate repetitive tasks, and strengthen cyber resilience. Despite significant advances in AI technologies, many organizations continue to face challenges related to implementation, governance, security, privacy, explainability, workforce readiness, and operational effectiveness. Security leaders require practical guidance on how AI can be deployed responsibly and effectively within real-world SOC environments. This book aims to provide a comprehensive examination of applied AI technologies within cybersecurity operations centers. The publication will bring together contributions from researchers, practitioners, industry leaders, government professionals, and technology innovators to explore current applications, emerging trends, implementation frameworks, governance models, operational lessons learned, and future directions for AI-enabled security operations.

Objective

---------- MORE DETAILS AT: https://docs.google.com/document/d/1l2a6kOOQR7O58K0QWkX6q469gV6Xo5n7C8iawbO3Xx8/edit?usp=sharing ---------- The primary objective of this book is to advance understanding of how artificial intelligence can be practically implemented within cybersecurity operations centers to improve security outcomes and operational efficiency. Specific objectives include: • Examining current and emerging AI technologies used in SOC environments. • Exploring AI applications for threat detection, threat hunting, incident response, and security analytics. • Investigating the integration of generative AI and large language models into cybersecurity workflows. • Identifying best practices for AI governance, risk management, compliance, and ethical deployment. • Evaluating operational challenges, limitations, and security risks associated with AI adoption. • Presenting real-world case studies, implementation experiences, and lessons learned. • Providing practical frameworks for organizations seeking to operationalize AI within security operations. • Supporting future research in AI-driven cybersecurity management and operations.

Target Audience

---------- MORE DETAILS AT: https://docs.google.com/document/d/1l2a6kOOQR7O58K0QWkX6q469gV6Xo5n7C8iawbO3Xx8/edit?usp=sharing ---------- This book is intended for: • Cybersecurity researchers and academics. • Security Operations Center managers and analysts. • Chief Information Security Officers (CISOs). • Cybersecurity architects and engineers. • Threat intelligence professionals. • Incident response teams. • Cloud security professionals. • Governance, Risk, and Compliance (GRC) practitioners. • Privacy and data protection professionals. • Government cybersecurity agencies. • Technology consultants and security service providers. • Graduate students in cybersecurity, information systems, artificial intelligence, and related disciplines. • Policymakers and regulatory professionals interested in AI governance and cybersecurity.

Recommended Topics

---------- MORE DETAILS AT: https://docs.google.com/document/d/1l2a6kOOQR7O58K0QWkX6q469gV6Xo5n7C8iawbO3Xx8/edit?usp=sharing ---------- Researchers and practitioners are invited to submit chapter proposals addressing theoretical, empirical, technical, managerial, policy, and practical perspectives on AI-enabled cybersecurity operations centers. Topics include, but are not limited to: • AI-Driven Security Operations Centers • Machine Learning for Threat Detection • Deep Learning Applications in Cybersecurity • Generative AI for Security Operations • Large Language Models in Cybersecurity • Autonomous Security Agents • AI-Powered Threat Hunting • AI-Enhanced Security Analytics • AI for Security Information and Event Management (SIEM) • AI Integration with Security Orchestration, Automation, and Response (SOAR) • AI-Assisted Incident Detection and Response • AI for Malware Analysis • AI-Based Phishing Detection and Prevention • AI for Ransomware Detection and Mitigation • AI-Powered Endpoint Detection and Response • AI Applications in Network Security Monitoring • AI for Cloud Security Operations • AI in Zero Trust Architectures • AI for Identity and Access Management • AI-Driven Vulnerability Assessment and Prioritization • Predictive Cyber Threat Intelligence • AI for Cyber Risk Assessment • AI for Attack Surface Management • AI and Security Automation • Human-AI Collaboration in Security Operations • Explainable AI for Cybersecurity • AI Governance and Accountability • Privacy-Preserving AI in Security Operations • Adversarial Machine Learning • Securing AI Models and AI Systems • AI Model Risk Management • AI and Regulatory Compliance • AI for GDPR and Privacy Compliance Monitoring • AI Ethics in Cybersecurity • AI Workforce Development and Training • Measuring AI Effectiveness in SOC Environments • Case Studies of AI Adoption in Security Operations Centers • AI Maturity Models for Cybersecurity Organizations • Future Trends in AI-Driven Cybersecurity Operations MORE DETAILS AT: https://docs.google.com/document/d/1l2a6kOOQR7O58K0QWkX6q469gV6Xo5n7C8iawbO3Xx8/edit?usp=sharing

Submission Procedure

Researchers and practitioners are invited to submit on or before July 26, 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 August 9, 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 November 8, 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, Applied Artificial Intelligence for Cybersecurity Operations Centers. 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

July 26, 2026: Proposal Submission Deadline
August 9, 2026: Notification of Acceptance
November 8, 2026: Full Chapter Submission
January 10, 2027: Review Results Returned
February 21, 2027: Final Acceptance Notification
March 7, 2027: Final Chapter Submission

Inquiries

Rahul Patel
Illinois Institute of Technology
rpatel37@illinoistech.edu
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