APIs (Application Programming Interfaces) are the backbone of modern digital services, driving the seamless flow of data and functionality between applications. From enabling quick social media logins to processing payments and connecting complex systems, APIs have revolutionized how businesses operate and innovate. However, this convenience comes at a price: APIs have become prime targets for cyberattacks, leaving sensitive data and critical business functions vulnerable. In today’s threat landscape, traditional security measures are no longer enough. Organizations must use advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) to proactively protect their APIs. This article explores the cutting-edge world of…
Author: Michelle Buckner
Michelle Buckner
Michelle Buckner is an Information Security Professional specializing in Web Application and Network Security Risk Management with a strong focus on data privacy and compliance. A CISSP and CISM, she has worked at companies like Cisco, Symantec, and several startups. Michelle’s passion for Open Source and privacy began with her work on early Linux integration projects at Sendmail and continues today as a regular writer for Open Source publications like opensource.net. She writes about cybersecurity best practices, privacy concerns, and the evolving landscape of technology and security.
