Develop the analytical skills to safeguard your organization by enhancing defense mechanisms, and become a proficient threat intelligence analyst to help strategic teams make informed decisions

Is this book for you?

• Are you a security professional who wants to deepen their understanding of cyber threat intelligence and discover techniques to prevent new types of threats? If so, then this book belongs on your desk
• Security researchers and cybersecurity enthusiasts will also gain plenty of know-how to their arsenal with the skills covered in this book
• All you need to get started is familiarity with networking and cybersecurity basics

How will you learn?

• This book teaches you with practical examples — you'll get step by step instructions on how to build the analytic skills you need for detecting and preventing cyber threats
• You'll also get Insights on how different types of attacks work, which will help you understand the cybersecurity landscape better
• Benefit from beginner-friendly techniques to tackle complex tasks like performing intrusion analysis using the cyber threat intelligence (CTI) process, and integrating threat intelligence into your current security infrastructure

What are some of the things you'll learn in this book?

• Understand the CTI lifecycle; from forming a CTI team, positioning it in the security stack, exploring CTI frameworks, platforms, and their use in the program to integrating CTI in small, medium, and large enterprises
• Discover intelligence data sources and feeds while learning to perform threat modelling and adversary and threat analysis
• Find out what Indicators of Compromise (IoCs) are and apply the pyramid of pain in threat detection
• Get to grips with writing intelligence reports and sharing intelligence

Table of Contents

1. Cyber Threat Intelligence Life Cycle
2. Requirements and Intelligent Team Implementation
3. Cyber Threat Intelligence Frameworks
4. Cyber Threat Intelligence Tradecraft and Standards
5. Goals Setting, procedures for CTI Strategy, and Practical Use Cases
6. Cyber Threat Modeling and Adversary Analysis
7. Threat Intelligence Data Sources
8. Effective Defensive Tactics and Data Protection
9. AI Application in Cyber Threat Analytics
10. Threat Modeling and Analysis: - Practical Use Cases
11. Usable Security: Threat Intelligence as part of the process
12. SIEM Solutions and Intelligence-driven SOCs
13. Threat Intelligence Metrics, Indicators of Compromise, and the Pyramid of Pain
14. Threat Intelligence Reporting and Dissemination

(N.B. Please use the Look Inside option to see further chapters)

About the Author

Jean Nestor Dahj M. is a data scientist, cybersecurity researcher & analyst, and telecom professional with wide technical and scientific abilities. His skills have led him to data science, network probing, penetration testing & hacking, threat intelligence, and network analytics. He has built a wide range of skillsets through training and consultancy, including skills in cryptography, computer forensics, malware coding, and data products. Jean Nestor holds a master’s degree (M-Tech) in Electrical Engineering from the University of South Africa. He is currently pursuing a PhD in the same field at the University of Johannesburg. His work history includes the likes of Huawei, Commprove technologies, Siftcon Forensic Services, Metro Teleworks, and Nanofritech Consulting. He is currently a full-stack data scientist at Rain Networks, part of a dynamic team developing data solutions. He currently lives in Pretoria and is originally from Kikwit, a small city in DR Congo