Africa: Web Application Security Testing Market Can Leverage Machine Learning to Catalyse Growth Opportunities

Machine learning uses human expertise to boost algorithm effectiveness, finds Frost & Sullivan's Digital Transformation team Dedicated web application testing is fast becoming essential to any organisation's cyber security approach. The rapid proliferation of connected devices and the direct links among applications, http protocol, and web services create numerous points of vulnerability for hackers to exploit. Machine learning technology offers an innovative way to prevent these attacks and optimise web application security testing. How Machine Learning will Strengthen the Web Application Security Testing Market, a recent whitepaper from Frost & Sullivan's Digital Transformation Growth Partnership Service, details the evolution of web application attacks, showcases different machine learning algorithms, explains the best approach to select a machine learning partner for web application testing and provides an exciting innovation matrix regarding the web security testing ecosystem. To access the white paper, please click on the following link: https://goo.gl/3x0joh