• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Security in AI Systems

Data Security in AI Systems

Paperback

Business General

ISBN10: 3330024615
ISBN13: 9783330024618
Publisher: LAP Lambert Academic Publishing
Published: Jun 27 2025
Pages: 92
Weight: 0.30
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
This book explores the vital intersection of AI and data security, stressing the need to safeguard sensitive information in intelligent systems. Part 1 introduces AI fundamentals and highlights why data security is critical as AI increasingly relies on large-scale data processing, making it vulnerable to threats. Part 2 outlines major risks like data poisoning, adversarial attacks, and model theft, along with protection methods such as encryption and differential privacy. Part 3 presents a case study on Google, examining how it manages data security and addresses real incidents. Part 4 explores future challenges, including quantum computing, evolving regulations, and the push for explainable AI. Part 5 concludes with practical recommendations to enhance AI security. Bridging technical detail and real-world examples, the book is a valuable resource for researchers, developers, and policymakers seeking to strengthen AI systems in a data-driven world.

Also from

Vijaya Kumar, Thokala

Also in

Business General