It’s no secret today’s threat landscape is evolving and organizations are leveraging cutting-edge tools and strategies to stay ahead of cyber risks. In this session, we will explore how combining AI with human expertise can create a more robust and adaptive approach to threat detection.
Core Discussion Topics:
How to use LLMs (Large Language Models) for research and finding interesting emails + How to integrate LLMs into existing threat detection workflows
Pros and Cons of LLMs (low precision)
Building in-house models
Benefits of combining a rule-based system with AI
Real-World Example: Building Our User Triage Model – An inside look at the design, development, and implementation process
Maryam Quadir
Material Security
Maryam Quadir is a software engineer at Material Security. She focuses on Recommendation Systems, Machine Learning and backend infrastructure. Prior to Material, Maryam worked at YouTube and Google. She earned her Bachelor’s Degree in Software Engineering at the University of Waterloo.
Thank You to Our Premier Partner:
Would you like a personal introduction to a Premier Speaker or Partner? Let Us Know >
Are you interested in becoming a Premier Partner? Contact Us >