Michael Hart is a security researcher focused on the intersection of artificial intelligence, natural language processing, and security. He has developed solutions using machine learning for data loss prevention, data governance, endpoint and network monitoring and alert triage. Before joining Splunk, Michael worked in research and engineering at Symantec, ad quality at Google and security analytics at Aetna. He holds a Ph.D. from Stony Brook University in computer science.
Running, cycling, skiing, reading
"All models are wrong, but some are useful."
— George Box
Wrestle with data, generally while drinking coffee.