Denver Spitz is a Staff Sales Engineer at Splunk with 10+ years of cyber security expertise. His specialism encompasses Digital Forensics and Incident Response (DFIR) with a growing skillset in Big Data, Machine Learning and OT Security. Denver supports the Middle East business at Splunk with a focus on strategic accounts across the region. He seeks to bring actionable security posture improvements to his clients with a focus on threat-based security monitoring.
Splunk Inc. turns data into doing with the Data-to-Everything Platform. Splunk technology is designed to investigate, monitor, analyze and act on data at any scale, from any source over any time period. The Data-to-Everything platform removes the barriers between data and action, so our customers — regardless of size or business — have the freedom to deliver meaningful outcomes across their entire organization. Our unique approach to data has empowered companies to improve service levels, reduce operations costs, mitigate risk, enhance DevOps collaboration and create new product and service offerings.
Speech Topic & Synopses
Machine Learning-driven threat detection in a connected world
Artificial Intelligence (AI) and Machine Learning (ML) are coming into their own amid a data explosion. Organizations today have a wealth of data — and will continue to generate more and more. With ML, it’s possible to use that data to get value not possible with human analysis alone. This presentation will cover how the Splunk security portfolio uses various forms of ML to improve threat detection and analyst productivity whilst providing new insights and automation.