With the advancements in 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). APIs provide interface to enable the communication among different applications. In essence, API is a double-edged sword; on one hand, API helps in expanding the business through sharing value and utility, but on the other hand, it raises security and privacy issues. Since the applications usually use APIs to retrieve important and critical data, it is extremely important to make sure that effective access control and security mechanisms are in place so that the data do not fall into wrong hands. In this context, in this article, we discuss the current state of the enterprise API security and the role of Machine Learning (ML) in an API security. We also discuss the General Data Protection Regulation (GDPR) Compliance and its effect on the API security.

中文翻译：

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企业 API 安全性和 GDPR 合规性：设计和实施视角

随着企业级业务发展的进步，对新应用和服务的需求势不可挡。对于此类应用程序和服务的开发和交付，企业业务依赖于应用程序编程接口 (API)。API 提供接口以实现不同应用程序之间的通信。本质上，API 是一把双刃剑；一方面，API 通过共享价值和效用来帮助扩展业务，但另一方面，它引发了安全和隐私问题。由于应用程序通常使用 API 来检索重要和关键的数据，因此确保有效的访问控制和安全机制到位以防止数据落入坏人之手极为重要。在此背景下，在本文中，我们讨论了企业 API 安全的当前状态以及机器学习 (ML) 在 API 安全中的作用。我们还讨论了通用数据保护条例 (GDPR) 合规性及其对 API 安全性的影响。