International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 186 - Number 49 |
Year of Publication: 2024 |
Authors: Anoop Gupta |
10.5120/ijca2024924168 |
Anoop Gupta . API Drift Detection Enhancing Data Protection. International Journal of Computer Applications. 186, 49 ( Nov 2024), 47-50. DOI=10.5120/ijca2024924168
The prevalence of data breaches in Application Programming Interfaces (APIs) has been highlighted in a recent Gartner study. The study predicts that APIs will become increasingly vulnerable to data leakage as the volume of data transmitted across organizational boundaries grows. APIs undergo multiple lifecycle phases and are handled by various engineers before they are deployed in production environments, which increases the likelihood of security breaches. This paper provides a comprehensive analysis of how to detect data leakage by identifying API drift and how to address such drift by pinpointing the exact location of the leakage. [1]