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Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,\xa0 and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 The heuristic and \u201cintermediate\u201d ML models that they develop at Abnormal Security [07:08]\u2022 How Dan uses LLMs at Abnormal Security [15:46]\u2022 How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]\u2022 How head-to-head competitor analysis helps refine models [34:34]\u2022 Resilient ML in cybersecurity [38:36]\u2022 Abnormal Security\u2019s routine for updating their models [52:37]\u2022 AI's impact on the urban world [1:09:57]\u2022 How to stay updated in data science and AI [1:13:46]Additional materials: www.superdatascience.com/717