Book Title:
AI AND APPLICATION SECURITY: SECURING MACHINE LEARNING AND INTELLIGENT APPS
Keywords:
Artificial Intelligence (AI), Application Security, MACHINE LEARNING, AI AND APPLICATIONSynopsis
This book offers a comprehensive exploration of the security challenges, principles, and evolving methodologies in the domain of Artificial Intelligence (AI) and Application Security. It delves into the intersection where intelligent applications meet threats, addressing vulnerabilities in machine learning systems, privacy risks, and deployment exposures. Drawing from both theoretical underpinnings and real-world case studies, the book investigates core aspects like adversarial attacks, data poisoning, regulatory frameworks like GDPR and ISO standards, and the ethical dilemmas surrounding AI in cybersecurity. By adopting a layered approach to understanding and mitigating threats—from development pipelines to runtime behaviors—the text equips readers with both a strategic overview and practical defensive techniques. The content is enriched with detailed chapters on explainability for security audits, the role of AI in enhancing cyber resilience, and emerging trends such as autonomous security systems and AI red teaming. Designed for academics, practitioners, and developers, this work underscores the need for secure-by-design AI architectures and the integration of trust and transparency into intelligent systems. In doing so, it bridges the gap between evolving AI capabilities and the critical security frameworks required to safeguard them in real-world applications.
Chapters
References
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Published
25 May 2025
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License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Details about this monograph
ISBN-13 (15)
978-93-49848-16-0
How to Cite
CHAITANYA APPANI (Ed.). (2025). AI AND APPLICATION SECURITY: SECURING MACHINE LEARNING AND INTELLIGENT APPS. Shodh Sagar International Publications. https://doi.org/10.36676/978-93-49848-16-0
