Scaling IAM Rules with ML-Based Risk Analytics? You Don’t Need to Be a Ninja


Posted on in Presentations

Are you in the process of developing or deploying an ML-based risk analytics engine to prevent identity theft and abuse? Want to better understand what specific ML models do for such use-cases, associated benefits and challenges? Come learn how to define and approach technical and operational requirements based on lessons learned through enterprise experience.

Pre-Requisites: Basic understanding of IAM specific technical controls, identity specific attacks and risk analytics.


Participants
Alex Zaslavsky

Participant

Senior Principal Data Scientist, RSA

Sudarsan Kannan

Participant

Consultant, RSA

Machine Learning & Artificial Intelligence Identity Analytics Intelligence & Response

behavioral analytics authentication artificial intelligence & machine learning


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