AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.
Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP’s unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization―backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.
You Will:
This book is for: SAP Security and GRC Professionals
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Mercedes Barrachina is an SAP security innovation lead at IBM (SAP Center of Competence in Europe). She holds a BSc and MSc in telecommunications engineering from the University of Malaga, developed her master thesis in the German Aerospace Center (DLR) and holds a BSc in economics as well as a PhD. She has completed several SAP training courses, including SAP Process Control, SAP Risk Management, SAP Fraud Management, SAP Access Control, and SAP HANA.
Mohamed Oudoun is a data engineering consultant at IBM (Client Innovation Center, Morocco). He holds a Master of Engineering (MEng) in computer science and specializes in building scalable AI and data platforms. His work focuses on data lakehouse architectures, machine learning systems, and generative AI applications. He has completed multiple technical trainings in cloud, data, and AI technologies, and has contributed to the development of enterprise-grade solutions across various industries.
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Paperback. Condition: new. Paperback. AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAPs unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritizationbacked by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798868830259
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Paperback. Condition: New. AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP's unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization-backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals. Seller Inventory # LU-9798868830259
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Paperback. Condition: New. AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP's unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization-backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals. Seller Inventory # LU-9798868830259
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP's unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization-backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals 156 pp. Englisch. Seller Inventory # 9798868830259
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP's unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization-backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals 141 pp. Englisch. Seller Inventory # 9798868830259
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Paperback. Condition: new. Paperback. AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAPs unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritizationbacked by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798868830259
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Paperback. Condition: New. AI-Driven Security Strategies for SAP Environments is a timely and authoritative guide for integrating artificial intelligence into the cybersecurity framework of SAP systems. As enterprises undergo rapid digital transformation, this book provides both strategic vision and technical depth to help organizations detect threats proactively, automate identity governance, and strengthen their overall security posture.Starting with the limitations of traditional methods, the book explains how AI enables adaptive, real-time defenses tailored to SAP's unique architecture. It explores core AI capabilities, architectural models, and how to integrate with external tools like SIEM and EDR for enriched threat context. Readers will learn how to apply AI for real-time anomaly detection, access control automation, and risk-based alert prioritization-backed by SAP system log analytics and predictive modeling. Case studies on role prediction, governance automation, and LLM-powered threat hunting ground these concepts in practical success stories, offering a clear path from strategy to implementation.You Will:Understand core architectural models and AI capabilities required to secure SAP landscapesLearn techniques for automating identity governance and intelligent access controlLearn real-world implementation insights from case studies in SAP role assignment, governance, and predictive securityThis book is for: SAP Security and GRC Professionals. Seller Inventory # LU-9798868830259