RevealSecurity
Doron Hendler has extensive experience in sales and business development, with a focus on technology companies. Doron is the CEO and Co-Founder of RevealSecurity, a company that offers innovative application protection against insider threats. Prior to this, they served as the Vice President of Sales at mPrest, where they provided mission-critical solutions for the Power Utility and Internet of Things sectors. Before that, Doron held the position of Vice President of Sales at Axxana, where they introduced a new disaster recovery solution for business critical applications. Doron also worked as the Vice President of Sales at Surf Solutions, overseeing the company's global business growth. Earlier in their career, they served as the Vice President of Sales and Business Development at Trivnet, where they developed content charging and mobile payment platforms for telecom operators. Doron's sales expertise extends back to their role as a Sales Director for Global Accounts at Nice Systems.
Doron Hendler pursued their education in a systematic and consistent manner. In 1994, they attended Coventry University, where they studied Electrical Electronic Engineering with a focus on Telecommunication. This program allowed him to gain knowledge and understanding in the field of telecommunication. Following this, from 1997 to 1999, Doron Hendler joined Heriot-Watt University to pursue an MBA degree with a specialization in Business. This educational experience provided him with a comprehensive understanding of business practices and strategies.
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RevealSecurity
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RevealSecurity detects malicious insiders and imposters by monitoring user journeys in enterprise applications. Powered by our unique clustering engine, RevealSecurity is ubiquitous, thereby detecting threats which originate from SaaS applications, cloud applications and custom-built applications. It protects enterprise organizations against casesin which either an authenticated user is taking advantage of permissions to abuse or misuse an application, or when an impersonator successfully bypasses authentication mechanisms and poses as a legitimate user. Tracking user journeys within applications does not rely on solution-specific rules, and is instead based on an advanced unsupervised machine learning algorithm to detect abnormal journeys which reflect abuse, misuse and malicious activities.