About this webinar
The operation and maintenance of large scale production machine learning systems has uncovered new challenges which have required fundamentally different approaches to that of traditional software. The area of security in MLOps has seen a rise in attention as machine learning infrastructure expands to further critical use cases across industry.
Speakers
Alejandro Saucedo
Engineering Director – Seldon
What you'll learn
- The key security challenges that arise in production machine learning systems
- Best practices and frameworks that can be adopted to help mitigate security risks
- How to secure a machine learning model
- Which tools to secure production machine learning systems
- Best practices on a critical area of machine learning operations which is of paramount importance in production.