Automating Cyber Threat Intelligence: Tools and Techniques for Enhanced Security Posture

Adele Kuzmiakova

ISBN 10: 177956421X / ISBN 13: 9781779564214

Published by Arcler Press Jan 2025, 2025

About this Item

Neuware - Cyber threats are increasingly sophisticated, requiring proactive and automated solutions for effective defense. This book explores tools and techniques for automating threat intelligence, from AI-driven analytics to automated incident response systems. Covering topics like vulnerability assessments and predictive threat modeling, it equips readers with strategies to enhance their organization's security posture. With actionable insights, this book is essential for cybersecurity professionals and IT managers seeking to stay ahead in the evolving cyber landscape.

Seller Inventory # 9781779564214

Bibliographic Details

• Title: Automating Cyber Threat Intelligence: Tools and Techniques for Enhanced Security Posture
• Publisher: Arcler Press Jan 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 177956421X
• ISBN 13: 9781779564214
• Binding: Buch
• Condition: Neu
• Dimensions: 224W x 155H x 28D millimeters 224 millimeters width by 155 millimeters height by 28 millimeters depth
• Weight: 680 grams

About this title

Synopsis

Cyber threats are increasingly sophisticated, requiring proactive and automated solutions for effective defense. This book explores tools and techniques for automating threat intelligence, from AI-driven analytics to automated incident response systems. Covering topics like vulnerability assessments and predictive threat modeling, it equips readers with strategies to enhance their organization's security posture. With actionable insights, this book is essential for cybersecurity professionals and IT managers seeking to stay ahead in the evolving cyber landscape.

About the Author

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.