AI Powered Enterprise Security Frameworks for SAP SuccessFactors and Cloud Native Infrastructure Management
Abstract
AI powered enterprise security frameworks for SAP SuccessFactors and cloud native infrastructure management represent an advanced convergence of artificial intelligence, identity governance, and distributed systems security designed to address the evolving complexity of modern enterprise environments. As organizations increasingly rely on SAP SuccessFactors for human capital management and cloud native infrastructures built on microservices, containers, and Kubernetes orchestration, the attack surface expands in both scale and sophistication. Traditional perimeter based security models are no longer sufficient to protect dynamic, API driven ecosystems where identities, workloads, and data flows are continuously changing. Artificial intelligence introduces adaptive capabilities into enterprise security frameworks by enabling continuous monitoring, behavioral analysis, anomaly detection, and automated incident response. These AI driven frameworks integrate zero trust principles, identity centric security, and predictive analytics to establish a proactive defense posture. In SAP SuccessFactors environments, AI enhances identity and access management by dynamically analyzing user behavior, detecting insider threats, and preventing privilege escalation in real time. In cloud native infrastructure, AI supports workload protection, container security, and runtime anomaly detection across distributed systems where traditional monitoring tools fail to scale effectively. By correlating signals from application logs, network telemetry, and identity systems, AI powered security frameworks provide holistic visibility and automated decision making capabilities. The integration of machine learning models further strengthens predictive threat intelligence, enabling organizations to anticipate attacks before they occur. This study explores the architectural design, operational mechanisms, and effectiveness of AI driven enterprise security frameworks in securing SAP SuccessFactors and cloud native infrastructures, emphasizing their role in strengthening resilience, compliance, and operational continuity in complex digital ecosystems
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 6 No. 6 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
1287-2893 |
Published |
November 10, 2023 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Antoine Dubois (2023). AI Powered Enterprise Security Frameworks for SAP SuccessFactors and Cloud Native Infrastructure Management. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 6 No. 6 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 1287-2893. https://doi.org/10.15662/IJAESIT.2023.0606007 |
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