AI-Augmented Secure Engineering: Concepts, Practices, and Challenges

By Dr. Latika Desai, Saket Dhanraj Chaudhari, Nandan Sharma

This book is authored by Saket Dhanraj Chaudhari is a principal software engineer at TriNet, based in Charlotte, North Carolina, where he specializes in designing and developing scalable, cloud-native software solutions. With a strong background in enterprise architecture and distributed systems, he plays a key role in driving innovation and technology strategy within the organization. Saket holds the AWS Certified Solutions Architect - Associate credential, highlighting his expertise in building secure and efficient cloud infrastructures. His work reflects a commitment to continuous learning, technical excellence, and delivering impactful engineering solutions that align with modern software development and cybersecurity best practices. Nandan Sharma is a senior industry leader and a passionate researcher with a solid foundation in the cybersecurity and artificial intelligence domains. He carries more than 20 years of experience. He holds a Master of Engineering in Cyber Security from University of Victoria. He is also an alumnus of Indian Institute of Management-Ahmedabad, and he holds a bachelor's degree in the same domain. His research interests include intelligent systems, data analytics, and emerging AI technologies. Nandan has contributed to several research publications, reflecting his commitment to addressing real-world challenges through innovative, data-driven solutions. Known for his analytical thinking and dedication to continuous learning, he aims to bridge the gap between academic research and practical applications in the field of AI. Dr. Latika Desai is currently an Associate Professor, Academic Administrator, and I/C HoD at D.Y. Patil College of Engineering, Akurdi. She has previously held roles as Head of the AI and Data Science Department at Dr. D.Y.PCOEI, Varale, Pune, and as Head of Information Technology at DIT, Pimpri. With 25 years of teaching experience, she completed her PhD in 2019 from SPPU under Dr. Suresh Mali. Dr. Desai has published 44 papers, authored a book, holds 5 patents and 2 copyrights, and has secured AICTE funding. She has chaired technical sessions at international conferences and is an approved PG teacher by SPPU. AI-Augmented Secure Engineering: Concepts, Practices, and Challenges provides an in-depth examination of how artificial intelligence is transforming the field of cybersecurity. The book opens with an overview of the convergence between AI technologies and secure engineering principles, establishing the foundational knowledge required to understand this interdisciplinary domain. It then delves into core applications such as threat detection and prevention, vulnerability management, risk assessment, incident response, forensic analysis, and security automation. The discussion emphasizes how AI enhances both the efficiency and effectiveness of traditional security operations, enabling more proactive and adaptive defense strategies. Each section is structured to bridge theoretical frameworks with real-world implementations, making the content relevant for practitioners, scholars, and policymakers alike. As the narrative unfolds, attention turns to advanced areas including secure software development, intelligent monitoring systems, and network defense mechanisms empowered by AI. The final chapters focus on the ethical, legal, and regulatory dimensions of deploying AI in security contexts--issues that are increasingly critical as intelligent systems gain autonomy in high-stakes environments.

• Format: Paperback
• Language: English
• ISBN: B0F65P6DPX
• ISBN13: 9798281109550
• Release Date: April 2025
• Publisher: Independently published
• Length: 111 Pages
• Dimensions: 11.7" x 0.3" x 8.3"