How Machine Learning will Strengthen the Web Application Security Testing Market

Published: 13 Apr 2017

Dedicated web application testing is fast becoming essential to any organization’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 optimize web application security testing. How Machine Learning will Strengthen the Web Application Security Testing Market, a recent game changer paper 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.

Sign in to read the rest of this article

Not signed up? Register now Forgot your password?

Help Desk

Full list of offices


For more information and general enquiries, contact Frost & Sullivan near you.

North America
tel: +1.877.463.7678

Select a location near you..