Secure Machine Learning Model Deployment in the Cloud

Pavan Nutalapati

Abstract: This dissertation solely focuses on the matter of secure machine learning in model deployment in the cloud enclosed by the fintech industry. Businesses and companies need financial security and clear calculation of their financial statement, which is crucial in the present day. Financial organizations especially are rapidly adapting to this new system to secure their financial data and relying upon machine learning on the matter of data analysis as well as decision-making. The study inspects several common security threats that cloud-based machine learning faces. This study will also explore modern techniques to avoid all those risks. Along with these, the study will give a thorough recommendation to mitigate those potential risks.

Keywords: fintech industry, cloud, machine learning deployment, data breaches, recommendations, integrity

How to Cite?: Pavan Nutalapati, "Secure Machine Learning Model Deployment in the Cloud", Volume 12 Issue 10, October 2023, International Journal of Science and Research (IJSR), Pages: 2201-2205, https://www.ijsr.net/getabstract.php?paperid=SR24903080730, DOI: https://dx.doi.org/10.21275/SR24903080730