Abstract: The present invention relates to a hybrid adaptive authentication scoring system. The system is combination of rules-cases based machine learning and also includes human in the decision making process whenever new cases are not found in system database. Based on defined policy that contains rules and user attributes, the system calculates a score that reflect risk for each request made by the user for completing the system authentication request. This is a continuous learning process and user attributes defines score for each transaction in one or more combination.