How AI Is Redefining Application Security
AiTHORITY, Monday, July 24,2023
As software systems become larger, more complex, and more connected, the threat landscape is evolving. Meanwhile, software testing processes and tooling are struggling to keep up. Compliance-driven security efforts fail to account for the daily reality of developers, leaving software systems vulnerable to potentially catastrophic security breaches such as log4shell.
AI-powered software testing is about to revamp the way we develop and secure code. In this article, I want to explain why the rise of AI-powered testing tools is introducing the cultural and procedural change we so desperately need to build secure applications amidst growing complexity.
Application Security Is Struggling to Keep Up With the Speed of Change
50% of organizations experienced an API security incident last year (Google Cloud, 2022). This comes as no surprise: while software systems are becoming larger in size, more interconnected and more interdependent, many industries are still using software testing processes and tooling that are ill-equipped to address the security challenges that these developments pose.