At the core of all Abnormal’s detection products sits a sophisticated web of prediction models. For any of these models to function we need deep and thoughtfully engineered features, careful modeling of
At Abnormal, the problems we are trying to solve are not that much different than those being tackled by other organizations, including non-startups. What is unique to startups are the additional constraints
Authors: Lei Xu and Jeshua Bratman On October 21st 2020, just two weeks before the US general election, many voters in Florida received threatening emails purportedly from the “Proud Boys”. See this Washington Post article on the
Authors: Vineet Edupuganti and Jeshua Bratman At Abnormal Security, one of our key objectives is to build a detection engine that can continuously adapt to a changing attack landscape. As such, we want to ensure
This article is a follow-up to one I wrote a year ago — Lessons from building AI to Stop Cyberattacks — in which I discussed the overall problem of detecting social engineering attacks using