Intelligent Data Processing in SAP Environments

Main Article Content

Sridhar Jampani
Sunil Gudavalli
Vamsee krishna Ravi
Prof. (Dr) Punit Goel
Akshun Chhapola
Er. Aman Shrivastav

Abstract

In an increasingly interconnected world, the integration of cloud computing, SAP systems, and Internet of Things (IoT) devices presents unique challenges and opportunities for data security and privacy. This paper explores the critical dimensions of safeguarding sensitive information across these environments, highlighting the vulnerabilities that arise from their interdependence. We examine various security frameworks and strategies, including encryption, access controls, and real-time monitoring, to enhance data protection. Additionally, the role of regulatory compliance, such as GDPR and HIPAA, is discussed in relation to establishing trust and accountability in data management. By employing a multi-layered security approach, organizations can effectively mitigate risks while leveraging the benefits of cloud, SAP, and IoT technologies. The findings underscore the necessity for continuous adaptation and innovation in security practices to keep pace with evolving threats and maintain user privacy in this dynamic landscape.

Article Details

How to Cite
Jampani, S., Gudavalli, S., Ravi, V. krishna, Goel, P. (Dr) P., Chhapola, A., & Shrivastav, E. A. (2024). Intelligent Data Processing in SAP Environments. Journal of Quantum Science and Technology (JQST), 1(4), Nov(285–304). Retrieved from https://jqst.org/index.php/j/article/view/100
Section
Original Research Articles

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