State of the art for automated AST - Why are today’s tools not enough?
Software is at the foundation of any business today; unfortunately, software, and specifically web applications - which are at the core of the business - are under more attacks now, more than ever. Where previously we focused our attention on securing organizations' networks, today the application level is where the focus is for attackers.
The new way forward for Application Security Testing AST is a Machine Learning (ML) approach, combined with a user-friendly interface, maximum automation, as well as a developer-friendly Rest API to empower any developer with the ability to integrate automatic security-driven testing during the Software Development Life Cycle (SDLC). This Whitepaper guides you through the issues and weaknesses of existing tools, the main types of AST, the Trends and Strategic planning assumptions in the Cyber-Security industry.
Learn more by downloading this document.