Open Web Application Security Project (OWASP) - Portland, Oregon Chapter

John Andersen - The Easiest Way to Use Machine Learning for AppSec (DFFML)

April 04, 2020 OWASP PDX Season 2020 Episode 10
Open Web Application Security Project (OWASP) - Portland, Oregon Chapter
John Andersen - The Easiest Way to Use Machine Learning for AppSec (DFFML)
Chapters
Open Web Application Security Project (OWASP) - Portland, Oregon Chapter
John Andersen - The Easiest Way to Use Machine Learning for AppSec (DFFML)
Apr 04, 2020 Season 2020 Episode 10
OWASP PDX

John Andersen is our distinguished guest today. He is a software security engineer with a passion for open source. He works for a really big Fortune 500 company here in Oregon doing product security and runs an open source project called Data Flow Facilitator for Machine Learning or DFFML. He's also done product level pentesting, secure design lifecycle consulting, and is currently trying his hand at Linux kernel hardening.
 
John is a native Portlander, does Brazilian Jiu-Jitsu and loves spending time in the great outdoors when there isn't a pandemic.

John's Link


John is interviewed by John L. Whiteman
Audio production and introduction by Shayne Morgan

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Show Notes

John Andersen is our distinguished guest today. He is a software security engineer with a passion for open source. He works for a really big Fortune 500 company here in Oregon doing product security and runs an open source project called Data Flow Facilitator for Machine Learning or DFFML. He's also done product level pentesting, secure design lifecycle consulting, and is currently trying his hand at Linux kernel hardening.
 
John is a native Portlander, does Brazilian Jiu-Jitsu and loves spending time in the great outdoors when there isn't a pandemic.

John's Link


John is interviewed by John L. Whiteman
Audio production and introduction by Shayne Morgan

Follow us, join us, be us:


Support the show (https://www.owasp.org/index.php/Membership#tab=Other_ways_to_Support_OWASP)