Neuware - AI entered the enterprise faster than anyone governed it. The models make decisions, the data leaks quietly, and no one owns the failure - until it is public.AI Resilience All-in-One gives resilience a place in the age of machine intelligence. Volume 3 of the Resilience All-in-One Series shows security and risk leaders how to find shadow AI, govern model risk, and respond when the model itself is the incident.Inside this volume: - Finding and governing Shadow AI across the business- Model risk, data leakage and the new attack surface- AI incident response when the model is the incident- Secure AI operations and MLSecOps in practice- Protecting digital trust in an AI-driven enterpriseWritten by Professor Kai London (CISSP, CISM), this is a practical playbook for keeping trust as AI moves from experiment to core infrastructure.

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Bibliographic Details

Title: AI Resilience All-in-One : Shadow AI, Model Risk, AI Incident Response, Secure AI Operations, and Digital Trust
Publisher: Amazon Digital Services LLC - Kdp Jul 2026
Publication Date: 2026
Language: English
ISBN 13: 9798186971993
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 191 millimeters height by 15 millimeters depth
Weight: 490 grams

About this title

Synopsis

AI entered the enterprise faster than anyone governed it. The models make decisions, the data leaks quietly, and no one owns the failure — until it is public.

AI Resilience All-in-One gives resilience a place in the age of machine intelligence. Volume 3 of the Resilience All-in-One Series shows security and risk leaders how to find shadow AI, govern model risk, and respond when the model itself is the incident.

Inside this volume:
• Finding and governing Shadow AI across the business
• Model risk, data leakage and the new attack surface
• AI incident response when the model is the incident
• Secure AI operations and MLSecOps in practice
• Protecting digital trust in an AI-driven enterprise

Written by Professor Kai London (CISSP, CISM), this is a practical playbook for keeping trust as AI moves from experiment to core infrastructure.

"About this title" may belong to another edition of this title.

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