Automating Cyber Threat Intelligence

Adele Kuzmiakova is a machine learning engineer working at the intersection of machine learning, computer vision, and natural language processing. Adele attended Cornell University in New York, United States for her undergraduate studies. She studied engineering with a focus on applied math. Some of the deep learning problems Adele worked on include predicting air quality from public webcams, developing a real-time human movement tracking, using 3D computer vision to create 3D avatars from selfies in order to bring online clothes shopping closer to reality, and creating visual stories and photobooks from photos on mobile devices. She is also passionate about exchanging ideas and inspiring other people and acted as a workshop organizer at Women in Data Science conference in Geneva, Switzerland in 2022 and 2023.

• Chapter 1 Introduction to Cyber Threat Intelligence Chapter 2 Information Sharing and Dimensions to Circumvent Incidents and Mitigate Cyber Threats Chapter 3 From Monitoring Logging, and Network Analysis to Threat Intelligence Extraction Chapter 4 Threat Intelligence Platforms (TIPs) Chapter 5 Automated Threat Analysis Chapter 6 Incident Detection and Response Automation Chapter 7 Threat Intelligence Sharing and Collaboration Chapter 8 Machine Learning and AI in Threat Intelligence Chapter 9 Automated Threat Intelligence Management Chapter 10 Future Trends and Emerging Technologies