Building AI-generated Anomaly Detection at scale - Artemis Security I Enginears Podcast
From Enginears by Enginears
May 27, 2026 · 33 min · Season 1 · Episode 189
About this episode
Dan Schiebler discusses the technical challenges and team dynamics at Artemis Security in the context of AI-generated anomaly detection.
We welcomed Dan Schiebler, CTO and Co-Founder Artemis Security. Today we'll be talking about the unique technical problems and scale at Artemis, what it means to build with an "AI-native approach," and how they've built a team with an extremely high bar for talent to tackle these complex challenges. Intro into Artemis Security and the problem space Dan's background at Twitter (X), Abnormal AI and founding Artemis. Understanding the technical landscape of "noisy data" and enormous scale How to build a high bar technical team and why in today's AI-native landscape If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/dan-shiebler-10219b42/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.
People in this episode
Host: Enginears
Guest: Dan Schiebler
Topics covered
- AI-generated anomaly detection
- technical challenges
- AI-native approach
- team building
- data scale
Keywords
- anomaly detection
- AI-native
- technical team
- noisy data
- Artemis Security
Sponsors
Artifeks
Mentioned in this episode
Organizations: Artemis Security, Twitter, Abnormal AI
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