Brandon Dixon
Co-Founder & CTO at TENEX.AI
Vienna, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolBrandon Dixon is a cybersecurity product leader and founder with 15 years of experience building market-moving security products and companies, now serving as Co-Founder & CTO of Ent AI and advising multiple AI security startups. He led the design and launch of Generative AI security offerings at Microsoft, including Copilot for Security and integrations that brought RiskIQ’s threat intelligence and EASM into Defender. Brandon combines hands-on engineering (co-founding PassiveTotal and contributing to well-known tooling like the JA3 fingerprinting library) with strategic M&A and go-to-market wins, having guided multiple exits. He’s known for translating deep threat research into scalable, user-focused products and for operationalizing data pipelines and integrations across enterprise stacks. Based in Vienna, VA, he balances research-grade technical depth with ruthless product prioritization to drive adoption at scale. A less obvious strength is his repeated ability to rebuild proofs-of-concept into $1M+ revenue businesses while maintaining active technical contributions.
15 years of coding experience
16 years of employment as a software developer
Bachelors of Science, Information Assurance, Bachelors of Science, Information Assurance at Capitol Technology UniversityDiploma, General Studies, Cisco Networking, Diploma, General Studies, Cisco Networking at Sollers Point Technical High SchoolAAS, Network Technology, AAS, Network Technology at Community College of Baltimore County
English
Github Skills (9)
dpdk10
network-security10
pcap10
python10
tls139
ssl9
tls129
api8
apidoc8
Programming languages (8)
Github contributions (5)
salesforce/ja3
Feb 2018 - Feb 2018
JA3 is a standard for creating SSL client fingerprints in an easy to produce and shareable way.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 1 PR, 1 comment in 1 day
Contributions summary:Brandon primarily focused on improving the `ja3` Python library, which involves generating fingerprints from PCAP files. Their contributions included code modifications, such as updating the `ja3.py` file to incorporate changes and improvements based on a changelog. They also updated the README.rst file, likely to reflect the changes and provide examples for usage. These edits highlight their role in maintaining and enhancing the core functionality of the library.
sslja3sshtlsshareable
9b/frisbee
Dec 2018 - May 2019
Collect email addresses by crawling search engine results.
Contributions:33 commits, 27 pushes, 1 branch in 5 months
collectemailsemailharvesterpenetration-testing
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.