As new threats emerge, the use of AI technologies to protect the world we live in is topical. This book is divided into three parts: methodological fundamentals of AI, use of AI for critical infrastructure protection, and anomaly detection. The first part describes the latest knowledge about creating safe AIs and using them to enhance protection. The following parts present various domains and examples of AI-driven security.

The chapters describe potential methods, demonstrate use cases and discuss the challenges of the evolving field. This includes topics such as defensive use of AI to detect threats, discussion about the offensive use of AI to better understand the future threat landscape, the use of AI for automation in critical infrastructure and overall challenges of AI usage for critical tasks. The chapters cover domains such as small enterprises, logistics, smart grid, software security and mobile networks.

Understanding latest advancements in this field should be useful to those who want to comprehend modern cybersecurity in detail, and especially to experts in the field, who want to follow research and latest trends. To this effect, this book brings together a group of international researchers and professionals who present their views on how to create security through AI.