Cyber Threat Intelligence for Cloud Systems
A Comprehensive Guide to Becoming an Analyst
- 1st Edition - October 1, 2026
- Latest edition
- Author: Gianni D'Angelo
- Language: English
Cyber Threat Intelligence for Cloud Systems: A Comprehensive Guide to Becoming an Analyst begins with the foundational study of asset vulnerabilities, laying the groundwork for un… Read more
Description
Description
Cyber Threat Intelligence for Cloud Systems: A Comprehensive Guide to Becoming an Analyst begins with the foundational study of asset vulnerabilities, laying the groundwork for understanding the weak points within cloud environments. It then introduces tools and methodologies for the automated collection and supervision of data from assets, culminating in the exploration of advanced techniques, such as Artificial Intelligence and Machine Learning for data analysis and automated threat response. Alongside theoretical concepts, the book includes practical examples, hands-on exercises in Python, existing tools, and real-world case studies to help readers solidify their understanding and apply what they’ve learned.
Cybersecurity is one of the fastest-growing fields in today’s technological landscape, and with the increasing complexity and pervasiveness of cyber threats, especially in cloud environments, the need for qualified professionals such as Cyber Threat Analysts has never been more critical. Here, author Gianni D’Angelo provides the technical knowledge required to analyze and defend digital infrastructures, covering both traditional and modern approaches, highlighting how CTI supports decision-making and proactive defense strategies.
Cybersecurity is one of the fastest-growing fields in today’s technological landscape, and with the increasing complexity and pervasiveness of cyber threats, especially in cloud environments, the need for qualified professionals such as Cyber Threat Analysts has never been more critical. Here, author Gianni D’Angelo provides the technical knowledge required to analyze and defend digital infrastructures, covering both traditional and modern approaches, highlighting how CTI supports decision-making and proactive defense strategies.
Key features
Key features
- Offers a structured learning path that guides readers from the fundamentals of cybersecurity to the specialized knowledge required for working in Cyber Threat Intelligence (CTI) within cloud environments
- Introduces the foundational principles of CTI, including threat modeling, vulnerability assessment, data collection and correlation, and the lifecycle of threat intelligence
- Presents a mix of theoretical frameworks, practical exercises, and real-world scenarios, providing readers with the essential skills and mindset to identify, analyze, and respond to cyber threats effectively
- Covers advanced techniques involving Artificial Intelligence (AI) and Machine Learning (ML) to automate the detection and analysis of cyber threats
- Demonstrates how to use tools and frameworks to process large volumes of threat data, recognize patterns, and enable rapid, automated responses to security incidents
- Includes hands-on Python exercises and case studies where readers can learn how to apply AI-driven techniques to real-world cloud environments, thus improving detection accuracy and response speed
Readership
Readership
Information security professionals, cybercrime and digital forensic investigators, cyber response and remediation teams, forensic analysts, software developers, e-discovery researchers, security managers, Computer Science analysts, consultants, and researchers in academia and industry. The primary audience also includes Cyber Threat Analysts, AI and ML Engineers in security, cloud engineers, administrators, and DevSecOps professionals applying these techniques to enhance malware detection and predict cyber threats
Table of contents
Table of contents
Part 1: Foundations of Cyber Threat Intelligence and System Vulnerability Analysis: Concepts, Methodologies, and Frameworks for Security Assessment in Cloud and Enterprise Environments
1. Introduction and Motivations2. Cyber Threat Intelligence
3. What to Protect and From Whom: An Analysis of Threats and Actors
4. Cloud Architecture
5. Vulnerabilities: Fundamentals, Taxonomy, Characterization, and Discovery
6. Cloud Vulnerabilities
Part 2: Practical Cloud Security and Defense.: Hands-On Labs for Offensive and Defensive Techniques
7. Frameworks for Effective Threat Monitoring and Analysis: MITRE ATT&CK & SIEM8. Automated Threat Detection and Response
9. Virtual Lab for Threat Analysis: Ethics, Network Architecture, and Attack Lifecycle
10. Analyzing and Simulating Attacks on OpenStack Infrastructures
Part 3: Cyber Data Analytics: AI-Powered Threat Analysis
11. Cybersecurity and Big Data12. Machine Learning and Artificial Intelligence for Cyber Big Data Analysis
13. Practical Data Mining with WEKA
14. Python Libraries for Threat Intelligence
Part 4: Understanding Network Traffic: Analysis, Features, and Classification
15. Intrusion Detection Systems16. Network Traffic Analysis and Packet Processing
17. Network Traffic Feature Extraction and Analysis
18. Network Traffic Classification
19. Concluding Remarks and Future Directions
Appendix
Bibliography
Product details
Product details
- Edition: 1
- Latest edition
- Published: October 1, 2026
- Language: English
About the author
About the author
GD
Gianni D'Angelo
Dr. Gianni D'Angelo is an Associate Professor at the Department of Computer Science of the University of Salerno, Italy, where he teaches “Cybersecurity and Threat Intelligence for Cloud Systems". He received the M.S. degree (cum laude) in Computer Engineering, and the Ph.D. degree in Computer Science, applied electromagnetism and telecommunications from the University of Salerno.
Affiliations and expertise
University of Salerno, Italy