Over the last three years building our ML-based cybersecurity products at Abnormal Security, I’ve benefitted enormously from discussions with colleagues in the ML space. This podcast aims to make some of those
It’s one thing to add machine learning and artificial intelligence features to an existing software platform. It’s quite another to build an entire company like Abnormal Security around machine learning technology, and
As VP of Engineering here at Abnormal Security, I’ve had numerous conversations with our team, VCs, and external engineering leaders about the challenges of building and leading engineering teams. Building applied machine
Check out Justin Young’s latest medium blog. Read the full blog below: This is the second of two posts on ML Re-scoring at Abnormal. If you haven’t read Part 1 yet, you may want
Check Abnormal’s Head of Machine Learning Jeshua Bratman’s latest medium blog. Read the full blog below: Developing a machine learning product for cybersecurity comes with unique challenges. For a bit of background,
Abnormal Security’s James Yeh wrote this medium post here. Read the full story below. Background Abnormal has a data-driven culture that permeates the entire organization, from the engineering team to product, sales,
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
Abnormal is the email security company that stands for trust.
© 2021 Abnormal Security Corporation.
All rights reserved.