DeepAI AI Chat
Log In Sign Up

Enterprise API Security and GDPR Compliance: Design and Implementation Perspective

by   Fatima Hussain, et al.

With the advancements in the enterprise-level business development, the demand for new applications and services is overwhelming. For the development and delivery of such applications and services, enterprise businesses rely on Application Programming Interfaces (APIs). In essence, API is a double-edged sword. On one hand, API provides ease of expanding the business through sharing value and utility, but on another hand it raises security and privacy issues. Since the applications usually use APIs to retrieve important data, therefore it is extremely important to make sure that an effective access control and security mechanism are in place , and the data does not fall into wrong hands. In this article, we discuss the current state of the enterprise API security and the role of Machine Learning (ML) in API security. We also discuss the General Data Protection Regulation (GDPR) compliance and its effect on the API security.


page 3

page 5


A Formally Verified Configuration for Hardware Security Modules in the Cloud

Hardware Security Modules (HSMs) are trusted machines that perform sensi...

A survey of OpenRefine reconciliation services

We review the services implementing the OpenRefine reconciliation API, c...

Security Analysis of the Open Banking Account and Transaction API Protocol

To counteract the lack of competition and innovation in the financial se...

Formal Analysis of the API Proxy Problem

Implementing a security mechanism on top of APIs requires clear understa...

Strategic API Analysis and Planning: APIS Technical Report

Traditionally, software APIs (application programming interfaces) have b...

On the relevance of APIs facing fairwashed audits

Recent legislation required AI platforms to provide APIs for regulators ...