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[] Model builders, security, pulling foundational models, nuances
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Classroom Contents
MLSecOps: Fundamental to Robust AI Security Posture Management - Podcast #257
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- 1 [] Sean's preferred coffee
- 2 [] Takeaways
- 3 [] Register for the Data Engineering for AI/ML Conference now!
- 4 [] KubeCon Paris: Emphasis on security and AI
- 5 [] Concern about malicious data during training process
- 6 [] Model builders, security, pulling foundational models, nuances
- 7 [] Hugging Face research on security issues
- 8 [] Inference servers exposed; potential for attack
- 9 [] Balancing ML and security processes for ease
- 10 [] Model artifact security in enterprise machine learning
- 11 [] Scanning models and datasets for vulnerabilities
- 12 [] Ray's user interface vulnerabilities lead to attacks
- 13 [] ML Flow vulnerabilities present significant server risks
- 14 [] Data ops essential for machine learning security
- 15 [] Prioritized security in model and data deployment
- 16 [] Automated scanning tool for improved antivirus protection
- 17 [] Wrap up
