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Additional Info

Company (that provides the nominated product / solution / service)Feroot
Websitehttp://www.feroot.com
Company size (employees)10 to 49
Type of solutionSoftware

In 3 bullets, summarize why this product or service is different from the competition and deserves recognition:

-- Cybersecurity teams can significantly reduce the manual burden of client-side security and speed up their ability to respond to client-side threats such as Magecart, e-skimming, formjacking, and cross-site scripting.

-- Feroot’s client-side security solutions were built from the ground up to make client-side JavaScript security easy for cybersecurity teams.

-- Feroot continuously analyzes the client-side attack surface to discover web assets and potential client-side threats. Upon threat detection, alerts can be sent to security teams through a variety of existing notification systems to stop breaches and reduce cyber risk exposure.

Brief Overview

As the industry’s top innovator in client-side security, Feroot helps organizations deliver powerful customer experiences without risk or compromise. To date, cybersecurity has been focused on mapping out the attack surface and managing security operations solely from the businesses perspective. Client-side security — that is, protecting customers — has been an afterthought at worst and a tedious task at best.

Feroot built a suite of proprietary technologies, machine learning and artificial intelligence to collect and classify data so that cybersecurity and application security professionals can take the right action at the right time. In other words, Feroot finds sensitive data that has been exposed on the front-end automatically and gives organizations the insights and tools to make sure they can properly secure that data.

Feroot replicates actual user journeys. It doesn’t rely on simply testing and scanning client-side web-applications. Additionally, Feroot doesn’t provide insights based solely on assumptions or ideas. Feroot provides insights and response actions based on actual user behaviors and their experiences – focusing on collecting user-intelligence data from websites and web applications, contextualizing that data, and then helping security teams properly act on it.