Continuous Integration Deployments of Adaptive Machine Learning Models

This talk focuses on the application of machine learning techniques in the detection of phishing attacks. The domain discussed involves deploying and calibrating machine learning models, as well as an automated workflow, to accurately detect phishing attempts.

The objective is to provide a comprehensive overview of the current state-of-the-art techniques used in the field and how they can be effectively integrated into an automated system to minimize the risk of phishing attacks.