Dan Shiebler
Head of Machine Learning at Abnormal Security, a cybersecurity company protecting Fortune 500 companies from cyberattacks. Has over 10 years of experience in the AI field and a PhD in the applications of category theory to machine learning.
Top 3 podcasts with Dan Shiebler
Ranked by the Snipd community
May 29, 2025 • 32min
Understanding the limitations of AI is crucial for enterprise success
Dan Shiebler, Head of Machine Learning at Abnormal Security, shares his extensive AI expertise and insights into cybersecurity. He discusses the powerful integration of AI agents in threat detection and how they enhance productivity in enterprises. Challenges in AI implementation are highlighted, particularly the balance between traditional methods and modern capabilities. Ethical considerations and the importance of safeguards against AI misuse are crucial themes, alongside the excitement surrounding AI's transformative potential in protecting sensitive data.
Sep 26, 2023 • 1h 21min
717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler
Dr. Dan Shiebler, Head of ML at Abnormal Security, discusses adversarial ML models, false negatives in cybersecurity, competitor analysis, resilient ML, and AI's impact on the urban world with Jon Krohn. They also cover staying updated in data science and AI.
Nov 25, 2022 • 6min
630: Resilient Machine Learning
Dr. Dan Shiebler, ML expert, discusses resilient ML at ODSC with Jon Krohn. They cover strategies like defaults & fallbacks to ensure models work in production despite missing features or varying conditions.
