John Hubbard
Sr. Instructor Course Author Cyber Defense Curriculum Lead at Spectrum Security
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolJohn Hubbard is a cybersecurity educator and practitioner with over eight years of hands-on SOC experience and a background in electrical and computer engineering. As a SANS Senior Instructor and course author, he designs and teaches flagship SOC courses (SEC450, LDR551) that translate advanced detection engineering, threat hunting, and SIEM strategy into practical, hands-on skills. He led US SOC operations at GSK—managing incident response, malware analysis, automation, and continuous improvement—before moving into curriculum leadership at SANS. Known for clear, applied teaching through podcasts and video, he focuses on measurable SOC efficiency gains via tuned use cases and optimized workflows. His engineering roots (BSEE, MEng) and early systems roles give him a systems-oriented approach to security that blends deep technical analysis with operational leadership.
8 years of coding experience
8 years of employment as a software developer
Master of Engineering (MEng) - Computer Engineering Network Security and Information Assurance, Master of Engineering (MEng) - Computer Engineering Network Security and Information Assurance at Binghamton UniversityBSEE Electrical Engineering, BSEE Electrical Engineering at Purdue University
Github Skills (6)
frequency-analysis10
entropy9
strings8
nlp7
natural-language-processing6
cryptography1
Programming languages (1)
Github contributions (5)
sans-blue-team/sec455-wiki
Dec 2017 - Nov 2018
Contributions:19 commits, 17 pushes in 11 months
sans-blue-team/freq.py
Jun 2021 - Oct 2022
Mark Baggett's (@MarkBaggett - GSE #15, SANS SEC573 Author) tool for detecting randomness using NLP techniques rather than pure entropy calculations. Uses character pair frequency analysis to determine the likelihood of tested strings of characters occurring.
Contributions:2 commits, 1 PR, 2 pushes in 1 year 4 months
gseentropyfrequency-analysisdeterminenatural-language-processing
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