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AI-Enabled Threat Intelligence and Cyber Risk Assessment

ISBN: 9781032821047
Assoc. Prof.  Edlira Martiri
Faculty of Economy,
University of Tirana, Albania
Assoc. Prof. Narasimha Rao Vajjhala
Dean, Faculty of Engineering and Architecture,
University of New York Tirana
Assoc. Prof. Fisnik Dalipi
Faculty of Technology, Linnaeus University, Växjö & Kalmar, Sweden

About the Book

This book will explore the cutting-edge methodologies that blend artificial intelligence with cybersecurity. This book will offer a distinctive practical approach, offering readers actionable insights on implementing AI systems for threat detection and risk management. This book will provide a robust framework for understanding and applying AI algorithms in the context of cyber risk assessment. Incorporating case studies and real-world scenarios in this book will illustrate AI's efficacy in predicting and mitigating cyber threats. This book will be valuable for professionals applying theoretical knowledge in practical settings. This book will include valuable insights and contributions from leading experts in both AI and cybersecurity fields and offer a well-rounded perspective on the challenges and solutions in threat intelligence. This book will include the ethical and legal debates surrounding AI in cybersecurity, providing a comprehensive discourse on privacy, bias, and the evolving legal landscape.

This book will fill the gap in the current literature by providing a bridge between theoretical AI concepts and practical cybersecurity applications. This book will be at the intersection of technology and strategy, offering a unique vantage point not thoroughly explored in existing texts. This book will engage with several key debates, including the balance between automated AI-driven security measures and the need for human oversight. Additionally, it will address challenges by ensuring that AI systems in cybersecurity are not only effective but also resistant to adversarial attacks.

The research questions guiding this proposed book project include:


  1. What are the most effective AI methodologies for predicting, detecting, and responding to cyber threats?

  2. How can AI-driven cybersecurity tools be designed to adapt to the evolving landscape of cyber threats?

  3. How can AI contribute to the development of proactive cyber defense strategies?

  4. What ethical considerations arise from deploying AI in cybersecurity, and how can they be addressed?

  5. What are the potential risks of adversarial AI, and how can systems be defended against AI-powered attacks?

  6. How do organizations integrate AI into their cybersecurity frameworks for threat intelligence and risk management?

  7. What are the implications of AI-driven cybersecurity for future policy and regulation?

  8. How can organizations upskill their workforce to use AI in cybersecurity effectively?

  9. What are the economic implications and ROI for implementing AI in cybersecurity?

  10. How do global trends and international collaboration shape the development and implementation of AI in cybersecurity?

  11. How can businesses leverage AI specifically to enhance their risk management strategies? What types of risks (operational, reputational, financial) can AI help mitigate?

  12. How does AI contribute to Business Continuity planning, especially in preventing or mitigating cyber-attacks that could lead to significant downtime or data loss?

  13. How can SMEs adopt AI in cybersecurity effectively, given their resource constraints? What are the unique challenges and opportunities for smaller businesses?

  14. Are there unique AI applications in cybersecurity that are particularly beneficial for certain industries? How do these applications differ in terms of complexity and outcomes?

  15. How does the use of AI in cybersecurity impact customer trust, especially concerning data privacy and protection?

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication. This book will be submitted for possible indexation to Scopus, Web of Science, and major indices.

Topics (Suggestive but not limited to)

The proposed tentative content for this book is given below:

  1. Foundations of Cyber Threat Intelligence

    • Understanding Cyber Threats

    • The Lifecycle of Cyber Threat Intelligence

    • Key Components of Threat Intelligence

    • The Rise of AI in Cyber Defense

  2. Introduction to AI and Machine Learning

    • Basics of Artificial Intelligence

    • Machine Learning and Deep Learning

    • AI in the Context of Big Data

    • Limitations and Challenges of AI

    • Advanced Technologies on AI Development ( it could be: Quantum Computing, IoT, Blockchain)

  3. AI-Driven Threat Detection and Analysis

    • Anomaly Detection Using AI

    • Predictive Analytics for Threat Forecasting

    • Machine Learning Models for Threat Classification

    • AI in Network Traffic Analysis

    • Case Studies on AI Failures and Successes in Cybersecurity

  4. AI in Cyber Risk Assessment

    • Quantitative vs. Qualitative Risk Assessment

    • AI Algorithms for Risk Quantification

    • Integrating AI with Traditional Cybersecurity Practices

    • Dynamic Risk Assessment with AI

    • Case Studies: AI in Risk Mitigation

  5. Ethical and Legal Considerations in AI

    • Privacy and Surveillance Issues

    • Bias and Fairness in AI Algorithms

    • Legal Frameworks Governing AI

    • Socio-Technical Analysis of Cybersecurity: Balancing Technology, Society, and Individual Needs

    • Ethical AI Design and Implementation

  6. Building Resilient AI-Enabled Cybersecurity Frameworks

    • Designing Resilient AI Systems

    • Redundancy and Recovery Planning

    • Continuous Learning and Adaptation

    • Frameworks for AI Security and Governance

  7. Human Element in AI Cybersecurity

    • The Synergy Between AI and Human Intuition

    • Training and Education for Cybersecurity Professionals

    • Human Oversight and AI Explainability

    • AI in Cybersecurity Awareness and Training Programs

    • AI and Cybersecurity Workforce Development: Bridging the Skills Gap

  8. The Future of Human-AI Collaboration

    • Global Cooperation and AI Cybersecurity

    • International Standards and Protocols

    • Cross-Border Data Sharing and Privacy

    • Collaborative AI Cyber Defense Initiatives

    • Case Study: Global Responses to Cyber Threats

  9. The Future of AI in Cyber Threat Intelligence

    • Emerging Trends in AI and Cybersecurity

    • Anticipating Future Cyber Threats

    • The Role of AI in Strategic Cyber Defense

    • Preparing for the Next Generation of Cyber Challenges

  10. Conclusion

    • Key Takeaways from the Book

    • Strategic Recommendations for Practitioners and Policymakers

    • The Road Ahead for AI in Cybersecurity

Submission Guidelines

All papers must be original and not simultaneously submitted to another book, journal, or conference.


Kindly note the following when submitting your book chapter:

  • Submit an initial proposal, including the title of the chapter and the problem/purpose statement explaining the proposed chapter. The deadline for submission of the initial proposal (500-700 words) is April 30, 2024.

  • Submit your proposal through the following link:

  • The authors will be informed about the approval of the book chapter proposal before May 15, 2024.

  • The full chapter is due by June 30, 2024.

  • The length of the chapter should be 5,000-6,000 words.

  • The paper should be formatted per the template provided, and APA 7th Edition style of references should be used in the chapter. The template will be sent to the authors after the acceptance of the initial proposal.

  • Ensure that the paper adheres to Taylor and Francis’s book chapter formatting guidelines.

Chapter Template

Chapter Formatting Guidelines 

Referencing and Citation Guidelines


Feel free to email us if you have questions or want feedback on your proposed research question (


You may also contact us via professional social media at:

Important Dates

Expression of Interest                -    April 30, 2024

Draft Chapter Due Date             -    June 30, 2024 

Peer Review Period                   -    July 1 - August 30, 2024

Finalized Chapter Due               -    September 30, 2024

Final Acceptance Notification    -    October 30, 2024

Book Publication Date               -    December 2024

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