March TASK: Building ML into Security Threat Detection: From Hadoop to ChatGPT

Join us for our next TASK on March 29, 2023 at 6pm Eastern. Zoom link below.

Speaker: Patrick W. Matlock

Topic: Building ML into Security Threat Detection: From Hadoop to ChatGPT

From the ground up, this talk uses open-source components to show how machine learning can be built into security operations. Learn about machine learning models and actual capabilities without vendor hype. Patrick Matlock builds security tools, analyzes the data and determines which ML models to apply. He’ll share his rich knowledge from practical experience and research he’s conducted with the University of Waterloo and others. Learn how open-source projects such as Zeek, Apache Metron, ELK, Hadoop, Jupyter are used in this context. From Markov Models to Neural Networks, discover more about the pluses and minuses of different approaches to analyzing security event data.

Patrick W. Matlock | Network Security Specialist, University of Waterloo (retired); PhD candidate

Patrick worked as full-stack pen tester and software developer for 10+ years. He has now been working with machine learning for many years to understand the challenges / benefits of myriad models. He knows where the pitfalls are when collecting and analyzing data. He has been contributing to the security community across universities efforts such as the CANARIE project, OpenID Connect implementation, and various security scanners he wrote including for CVEs and OWASP top 10 self-service. He retired to pursue further cyber research and school. He has delivered a range of talks to demonstrate and share tools and research he created / worked on.

Zoom Register: https://us06web.zoom.us/webinar/register/WN_Z3GuP2QzRGqEhtBIard6pQ

We look forward to see you all then,
The TASK Steering Committee