Ai-Driven Security Strategies for SAP Environments: Leveraging Artificial Intelligence to Protect Critical Enterprise Systems
暫譯: 基於人工智慧的SAP環境安全策略：利用人工智慧保護關鍵企業系統
Barrachina, Mercedes, Oudoun, Mohamed
商品描述
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 landscapes
- Learn techniques for automating identity governance and intelligent access control
- Learn real-world implementation insights from case studies in SAP role assignment, governance, and predictive security
This book is for: SAP Security and GRC Professionals
商品描述(中文翻譯)
《AI 驅動的 SAP 環境安全策略》是一本及時且權威的指南，旨在將人工智慧整合進 SAP 系統的網路安全框架中。隨著企業快速進行數位轉型，本書提供了戰略視野和技術深度，幫助組織主動檢測威脅、自動化身份治理，並加強整體安全態勢。
本書從傳統方法的限制開始，解釋了人工智慧如何使得針對 SAP 獨特架構的自適應、即時防禦成為可能。它探討了核心的人工智慧能力、架構模型，以及如何與 SIEM 和 EDR 等外部工具整合，以增強威脅背景。讀者將學習如何應用人工智慧進行即時異常檢測、訪問控制自動化和基於風險的警報優先級排序，這些都以 SAP 系統日誌分析和預測建模為支撐。關於角色預測、治理自動化和 LLM 驅動的威脅獵捕的案例研究，將這些概念根植於實際成功故事中，提供從策略到實施的清晰路徑。
您將：
- 理解保護 SAP 環境所需的核心架構模型和人工智慧能力
- 學習自動化身份治理和智能訪問控制的技術
- 從 SAP 角色分配、治理和預測安全的案例研究中獲得實際實施見解
本書適合：SAP 安全和 GRC 專業人士
作者簡介
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.
作者簡介(中文翻譯)
Mercedes Barrachina 是 IBM（歐洲 SAP 能力中心）的 SAP 安全創新負責人。她擁有馬拉加大學的電信工程學士和碩士學位，並在德國航空航天中心（DLR）完成了碩士論文，此外還擁有經濟學學士學位和博士學位。她已完成多個 SAP 培訓課程，包括 SAP 流程控制、SAP 風險管理、SAP 欺詐管理、SAP 存取控制和 SAP HANA。
Mohamed Oudoun 是 IBM（摩洛哥客戶創新中心）的數據工程顧問。他擁有計算機科學的工程碩士學位（MEng），專注於構建可擴展的 AI 和數據平台。他的工作重點是數據湖屋架構、機器學習系統和生成式 AI 應用。他已完成多個雲端、數據和 AI 技術的技術培訓，並為各行各業的企業級解決方案的開發做出了貢獻。
