Securing the AI Enterprise: DevOps, MLOps, and MLSecOps Explained

"Securing the AI Enterprise: DevOps, MLOps, and MLSecOps Explained" is the definitive guide for IT professionals navigating the enterprise’s complex landscape of AI security. This comprehensive book bridges the gap between traditional DevOps practices and the unique challenges posed by machine learning systems.
This book covers every aspect of securing AI in production environments, from data privacy and model security to compliant AI operations. You'll learn how to:
- Implement robust MLSecOps practices across the entire AI lifecycle
- Secure data pipelines and protect sensitive information in ML workflows
- Deploy and monitor AI models safely in production environments
- Navigate the regulatory landscape of AI security and compliance
- Foster a culture of security in AI development teams
Packed with real-world case studies, practical tools, and actionable insights, this book is an essential resource for CISOs, ML engineers, data scientists, and IT leaders committed to harnessing the power of AI while ensuring the highest standards of security and compliance.
Whether you're just starting your AI security journey or looking to optimize your existing practices, "Securing the AI Enterprise" provides the knowledge and tools you need to confidently build and maintain secure AI systems in today's rapidly evolving technological landscape.