RevealSecurity
Samantha Lawrence has a diverse work experience spanning multiple industries. Samantha began their career at Old Colony YMCA as a Welcome Center Representative from August 2016 to August 2018. Samantha then worked as a Food Runner/Busser at Bar Louie from May 2018 to August 2018. Samantha also gained sales experience as a Sales Associate at The Rug Show in October 2018. Samantha later became a Waitress at The Cape Club of Sharon from May 2019 to August 2020.
In 2020, Samantha joined Texture Imports Inc. as a Sales Representative from October 2020 to June 2021. Samantha then transitioned into the technology industry, working as a Senior Sales Development Representative at CyberMDX - A Forescout Company from June 2021 to October 2022.
Samantha continued to advance their career and joined demandDrive in June 2021 as a Sales Development Representative. Samantha quickly progressed to become a Team Lead in April 2022 and then a Project Lead in June 2022. In January 2022, Samantha was promoted to a Senior Sales Development Representative at demandDrive.
In November 2022, Samantha took their expertise to IMAT Solutions, where they worked as a Senior Business Development Representative from November 2022 to June 2023. Samantha then joined RevealSecurity in June 2023 as a Senior Sales Development Representative.
Overall, Samantha Lawrence has a strong background in sales and business development, with a proven track record of success in various industries.
Samantha Lawrence graduated from High Point University in 2021 with a Bachelor of Science in Business Administration (B.S.B.A.) in Marketing, along with a minor in Sales. Their field of study focused on Sales, Distribution, and Marketing Operations in general.
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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.