Privacy Engineering: Techniques & Tools: Designing, Building, Governing, and Operating Privacy-First Digital Systems for the AI Era

By Mohan Rayithi

Privacy is no longer a legal problem-it is an engineering challenge.

Privacy Engineering: Techniques & Tools is a practical, enterprise-focused guide to designing systems that protect personal data by design-not by accident.

From cloud-native platforms and microservices to AI, DevSecOps, data lakes, and Generative AI, this book demonstrates how to embed privacy into modern software architecture, data engineering, and intelligent systems.

Whether you're building customer platforms, AI applications, enterprise APIs, or multi-cloud ecosystems, you'll learn how to reduce privacy risk without slowing innovation.

Inside you'll discover:

Privacy-by-Design architecture patternsData minimization and lifecycle engineeringConsent and preference managementPrivacy-first APIs and microservicesCloud-native privacy for Kubernetes and serverlessIdentity, federation, and Zero TrustPrivacy-aware data pipelines and analyticsAI governance and Generative AI privacyFederated Learning and Privacy-Enhancing Technologies (PETs)DevSecOps integration and Privacy as CodeEnterprise privacy metrics and maturity modelsHands-on architecture challenges and real-world mini projects

Written in a practical, architecture-first style, this book equips enterprise architects, software engineers, cloud professionals, AI engineers, CISOs, privacy leaders, and technology executives with the knowledge needed to build trustworthy digital systems at scale.

If you're designing the next generation of AI-powered enterprise platforms, Privacy Engineering: Techniques & Tools belongs on your desk.

• Format: Paperback
• Language: English
• ISBN: B0H6V34PBG
• ISBN13: 9798184670850
• Release Date: June 2026
• Publisher: Independently published
• Length: 258 Pages
• Weight: 1.34 lbs.
• Dimensions: 11.0" x 0.6" x 8.5"