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Automated Threat Detection with AI

  • Mercedes Barrachina,
  • Mohamed Oudoun

摘要

Overall Assessment: This chapter provides a solid, foundational introduction to AI-driven threat detection specifically tailored to SAP environments. The distinction between supervised and unsupervised models is clearly mapped to SAP use cases (like financial fraud vs. general anomaly detection where labeled data is scarce). To make this chapter truly enterprise-grade, it needs to bridge the gap between high-level concepts and SAP-specific technical realities. Specifically, the text should explicitly name the standard SAP logs being utilized (e.g., Security Audit Log, Gateway Log, Change Documents) and address the actual compute/architecture limitations of running heavy AI models against massive SAP databases.