International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Securing Multi-Cloud Environments with SAP BTP, AI, and IAM: A Comprehensive Approach

Author(s) Arun Kumar Akuthota
Country United States
Abstract The rapid adoption of multi-cloud strategies has introduced complex security challenges that traditional approaches struggle to address effectively. This article examines how SAP Business Technology Platform (BTP), enhanced with artificial intelligence capabilities and robust Identity and Access Management (IAM), provides a transformative framework for securing multi-cloud environments. The article analyzes the platform's centralized identity management, AI-powered security features, and unified governance tools, demonstrating significant improvements in threat detection, access control, and compliance management. Through extensive analysis of enterprise implementations, this article highlights how SAP BTP's integrated approach enables organizations to establish consistent security policies, automate compliance processes, and adapt to emerging threats across diverse cloud environments. The article reveals that organizations leveraging SAP BTP's comprehensive security framework achieve substantial reductions in security incidents while improving operational efficiency and compliance adherence.
Keywords Multi-Cloud Security Architecture, SAP Business Technology Platform, Artificial Intelligence in Security, Identity and Access Management, Cloud Governance Automation
Field Computer
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-09
Cite This Securing Multi-Cloud Environments with SAP BTP, AI, and IAM: A Comprehensive Approach - Arun Kumar Akuthota - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3470
DOI https://doi.org/10.71097/IJSAT.v16.i2.3470
Short DOI https://doi.org/g9fcf5

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