DeepSeas
Nick Hoffman has a diverse work experience in the field of cybersecurity. Nick currently works as a Cyber Security Engineer at DeepSeas, starting in December 2022. Before that, Nick was a Cyber Security Operations Engineer at Booz Allen Hamilton from November 2017 to December 2022. Their previous roles include being a Reverse Engineer at Morphick, Inc. from March 2015 to November 2017, as well as a Lead Reverse Engineer / Malware Analyst at CBTS from February 2014 to March 2015. Before entering the private sector, they served as a Lead Security Engineer at Vigilant LLC. from November 2013 to March 2015. Prior to that, they worked as an Incident Responder at GE from August 2009 to November 2013 and at CBTS from January 2008 to August 2009. Nick started their career as a Security Engineer at Northern Kentucky University from June 2005 to December 2007.
Nick Hoffman attended Northern Kentucky University from 2002 to 2007, where they earned a Bachelor of Science (BS) degree in Mathematics and another BS degree in Information Technology.
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DeepSeas
Bringing 30 years of experience to over 350 clients, DeepSeas is the first and only Managed Detection and Response provider that covers the entire converged attack surface for the mid-market, including OT, IT, cloud, and mobile. DeepSeas brings calm and clear minds to our customers by patrolling the cyberseas and removing harm from their environments. Our mission is to be the world’s deepest cyber defense services and threat analytics organization. Named the most innovative global MDR service provider by Frost & Sullivan, over 350 active customers trust DeepSeas to activate, operate, and optimize cyber security managed detection and response (MDR) programs. The DeepSeas full-spectrum cyber threat monitoring service is award winning and backed by world-renowned researchers, data scientists, and mathematicians who have published over 250 papers and created a broad base of intellectual property, while achieving a number of scientific breakthroughs in the areas of Big Data, Machine Learning and Artificial Intelligence as it applies to the detection of advanced and unknown cyber threats.