Welcome to episode 154 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Jeshua Bratman, Head of Machine Learning at Abnormal Security in New York. Jeshua has over 10 years of experience in machine learning and is an expert in building technology products powered by artificial intelligence. He is a founding member of Abnormal Security, which stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
Founded in 2018, the Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
In the episode, Jeshua will tell you about:
The motivation for setting up Abnormal Security
Problems they are solving within Cybersecurity & Data Protection
His learns on building a company from scratch
Using Data Science and Machine Learning to improve security protection
Misconceptions within Cybersecurity
What the future holds for Abnormal Security
To find out more about Jeshua and the great work happening at Abnormal Security, check out the website www.abnormalsecurity.com or follow them on Twitter @AbnormalSec. You can also connect with Jeshua on Linkedin or follow him on Twitter @nojeshua.
What did you think of Jeshua's podcast? Where do you see the future of AI in the Data Privacy and Cybersecurity sector heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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