Get your ticket or log in to build your agenda.

Improving Cyber Threat Detection with Machine Learning, Visualizations and Graph Analytics


David Braun
TigerGraph, Sr. Solutions Architect

As a Senior Solutions Architect, David joined TigerGraph in 2021 bringing more than 35 years of global security, governance, compliance and auditing expertise and experience. Having worked for companies like Fidelis, Actiance/Smarsh, Varonis, SecureAuth and Collibra, David brings a diverse background of technology to the TigerGraph team. David taught at the collegiate level for the University of Maryland and Central Texas College and has worked in both consulting and the Corporate arena during his career. David is a proud, 14-year veteran of the U.S. Army Signal Corps and is based in Chicago.


Key Takeaways:

The sophistication of cyber criminals is increasing relentlessly. Accenture found that 68% of business leaders feel their cybersecurity risks are increasing. More and better technologies are required to detect attacks and prevent them, we’ll discuss: 

  •  How graph analytics, machine learning, and visualizations, can directly assist in the identification of threats in your environment. 
  • Using the same approach as many other security tools, we examine how TigerGraph can help you identify threats earlier along the kill chain of the MITRE Attack Framework.