Conversation with Ezz Tahoun about MITRE Attack Flow Detector.

Ezz Tahoun, a distinguished cyber-security data scientist, who won AI & innovation awards at Yale, Princeton and Northwestern. He also got innovation awards from Canada’s Communications Security Establishment, Microsoft US, Trustwave US, PIA US, NATO, and more. He ran data science innovation programs and projects for OrangeCyber Defense, Forescout Technologies, Royal bank of Canada, Governments, and Huawei Technologies US. He has published 20 papers, countless articles and 15 open source projects in the domain. When he was 19 years old he started his CS PhD in one of the top 5 labs in the world for cyber & AI, in the prestigious University of Waterloo, where he published numerous papers and became a reviewer for top conferences. His designations include: SANS/GIAC-Advisory-Board, aCCISO, CISM, CRISC, GCIH, GFACT, GSEC, CEH, GCP-Professional-Cloud-Architect, PMP, BENG and MMATH. He was an adjunct professor of cyber defense and warfare at Toronto’s school of management. Ezz has cofounded Cypienta, an on-prem rule-less event correlation & contextualization solution that plugs into SIEMs, XDRs, and SOARs, to help SOCs find relevant alerts, logs, and events to any investigation in real-time. Cypienta is backed by Techstars, ORNL, TVA, Univ of Tennessee Sys, and supported by 35Mules-Next Era, BAE Systems, and others. Ezz authored MITRE Attack Flow Detector

• MITRE Attack Flow on AWS marketplace - https://aws.amazon.com/marketplace/pp/prodview-4dismc5uwx4dk