Edited book · 2025
AI-Enabled Threat Intelligence and Cyber Risk Assessment
CRC Press, 202 pp. · Published
Research summary
The summary, key coverage points, methodology and relevance notes below are this website’s own description of the book, written from the published description and table of contents. The official publisher description and citation details are given further down.
- The Problem
- Artificial intelligence is reshaping cyber threat intelligence and risk assessment, but adoption barriers, workforce gaps and ethical and legal questions remain unresolved.
- The Approach
- Edited volume of 10 chapters; chapters combine literature-based trend analyses, thematic and trend analysis of workforce upskilling, sector cases (digital marketing, healthcare, Kazakh businesses), and framework development.
- The Core Contribution
- The volume maps current trends in AI-enabled threat intelligence and assembles sector and regional evidence — digital marketing fraud, healthcare compliance, workforce upskilling and Kazakh businesses — into guidance for building resilient AI-enabled cybersecurity frameworks.
- The Citation
- Martiri, E., Vajjhala, N. R., & Dalipi, F. (Eds.). (2025). AI-Enabled Threat Intelligence and Cyber Risk Assessment. CRC Press. https://doi.org/10.1201/9781003504979
What question does this book address?
How are artificial intelligence technologies reshaping cyber threat intelligence and cyber risk assessment, what barriers and ethical or legal considerations accompany their adoption, and how can resilient AI-enabled security frameworks be built?
What does the book cover?
Ten chapters examine current trends and future directions in AI-enabled threat intelligence; the role of AI in combating digital marketing fraud and bot attacks; data privacy as the basis of customer trust; upskilling the educational workforce for AI-enhanced cybersecurity; AI-enabled risk assessment in the digital transformation of Kazakh businesses; ethical and legal considerations of AI; AI and human capital for healthcare cybersecurity and regulatory compliance; the future of AI in cyber threat intelligence; resilient AI-enabled cybersecurity frameworks; and the evolving landscape of AI in threat intelligence and risk assessment.
Why does it matter?
AI is changing both attack and defence. The volume combines technical, organisational, ethical and regional perspectives so that researchers, policymakers and practitioners can assess where AI-based threat intelligence helps, where it raises new risks, and how to govern it.
What the book covers
- Surveys current trends and future directions of AI-enabled cyber threat intelligence and cyber risk assessment, opening and closing the volume with landscape chapters.
- Examines AI-driven fraud prevention and bot-attack mitigation in digital marketing, and strategies for building customer trust through data privacy.
- Presents a thematic and trend analysis of upskilling the educational workforce for AI-enhanced cybersecurity.
- Offers regional and sector insight: AI-enabled risk assessment in the digital transformation of Kazakh businesses, and AI plus human capital for safeguarding patient data and regulatory compliance in healthcare.
- Addresses ethical and legal considerations of AI and the design of resilient AI-enabled cybersecurity frameworks.
Source: Martiri et al. (2025), CRC Press, 202 pp.. DOI: 10.1201/9781003504979
Book at a glance
| Type | Edited book, 1st edition, 202 pages, 16 B/W illustrations |
|---|---|
| Editors | Edlira Martiri, Narasimha Rao Vajjhala, Fisnik Dalipi |
| Chapters | 10 |
| Sectors covered | Digital marketing, education, healthcare, business digital transformation in Kazakhstan |
| Editor’s own chapters | Ch. 4 (Çela, Vedishchev and Vajjhala) and Ch. 10 (Ajibesin and Vajjhala) |
| Audience | Academics, professionals and students at the intersection of AI, cybersecurity and risk assessment |
| Citation | Martiri et al. (2025) · DOI 10.1201/9781003504979 |
Publisher’s description
AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks. Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today's most pressing cybersecurity challenges.
Description as published by CRC Press.
Contents
- AI-Enabled Cyber Threat Intelligence and Cyber Risk Assessment – Current Trends and Future Directions
- The Role of Artificial Intelligence (AI) in Combating Digital Marketing Frauds and Bot Attacks
- Building Customer Trust: Safeguarding Data Privacy in the Era of AI-Enabled Cybersecurity
- Upskilling the Educational Workforce for AI-Enhanced Cybersecurity: A Thematic and Trend Analysis
- AI-Enabled Threat Intelligence and Cyber Risk Assessment in the Digital Transformation of Kazakhstan Businesses
- Ethical and Legal Considerations in Artificial Intelligence
- Capitalizing on the Transformative Role of AI and Human Capital to Strengthen Cybersecurity in Healthcare: Safeguarding Patient Data and Advancing Regulatory Compliance
- Exploring the Future of AI in Cyber Threat Intelligence
- Building Resilient AI-Enabled Cybersecurity Frameworks
- The Evolving Landscape of AI in Threat Intelligence and Risk Assessment
Scope and limitations
- An edited collection with chapter-level methods and evidence; not a single empirical study. The title is spelled "Cyber Risk" by the publisher and Crossref.
When this research may be relevant
This book may be relevant to researchers studying AI for cyber threat intelligence, risk assessment methodologies enhanced by machine learning, cybersecurity in digital marketing and healthcare, the ethics and law of AI in security, and cybersecurity workforce development.
Research topics addressed: AI in cybersecurity; cyber threat intelligence; cyber risk assessment; digital marketing fraud; bot attacks; data privacy and customer trust; cybersecurity workforce upskilling; healthcare cybersecurity; ethical and legal aspects of AI; resilient cybersecurity frameworks; Kazakhstan digital transformation
How to cite
Martiri, E., Vajjhala, N. R., & Dalipi, F. (Eds.). (2025). AI-Enabled Threat Intelligence and Cyber Risk Assessment. CRC Press. https://doi.org/10.1201/9781003504979
BibTeX
@book{martiri2025ai,
title = {AI-Enabled Threat Intelligence and Cyber Risk Assessment},
editor = {Martiri, Edlira and Vajjhala, Narasimha Rao and Dalipi, Fisnik},
isbn = {9781003504979},
edition = {1st},
year = {2025},
publisher = {CRC Press},
doi = {10.1201/9781003504979},
url = {https://doi.org/10.1201/9781003504979}
}Related research