Jeremy L.
About Jeremy L.
Jeremy L. serves as the Professional Services Practice Lead for the APJ region at Exabeam, where he has worked since 2020. He has extensive experience in cybersecurity, data analysis, and software development, with a background that includes roles at Commonwealth Bank and Getronics.
Work at Exabeam
Currently, Jeremy L. serves as the Professional Services Practice Lead for the APJ region at Exabeam, a role he has held since 2020. He also works as a Senior Professional Services Engineer, a position he has maintained since 2019. Based in New South Wales, Australia, he has contributed to various projects, including the development of a visualization tool for identifying Spam and Malspam from email headers. His expertise includes extending Splunk capabilities and collaborating with academic institutions on advanced security techniques.
Education and Expertise
Jeremy L. studied at the University of Surrey, where he earned a B.Sc. (Hons) in Electronics. His educational background has provided a foundation for his extensive career in cybersecurity and data analysis. He is proficient in using Regular Expressions (RegEx) for security data analysis and is currently enhancing his programming skills by learning Scala and C++. His technical expertise includes utilizing wavelet analysis, convolutional neural networks, and optical character recognition (OCR) for security applications.
Background
Before joining Exabeam, Jeremy L. held several positions in the technology sector. He worked at Getronics as a Manager and Product Manager for a total of ten years, from 1991 to 2001. He also served as a Cyber Security Analytics Engineer and Security Engineer SIEM at Commonwealth Bank from 2013 to 2018. His experience includes roles in professional services and education at Lan1 from 2008 to 2013, as well as a two-year stint in travel from 2018 to 2020.
Achievements
Throughout his career, Jeremy L. has developed various tools and techniques to enhance cybersecurity measures. He created a detector for specific RGB colors to identify potential brand infringement and explored the use of convolutional neural networks for image classification in malware detection. He has also implemented advanced metrics for comparing brand logos with phishing sites and authored an external command for Splunk to enable plugin functionality. His work demonstrates a commitment to advancing security analytics.