Our team is implementing predictive analytics extensions in Qlik Sense 2020 that process highly sensitive financial forecast data through the Advanced Analytics Integration API. I’m concerned about security best practices for this type of implementation.
The forecasting models consume proprietary revenue data and competitive intelligence. We need to ensure HTTPS enforcement across all API communications, comprehensive audit logging of who accesses which forecasts, and role-based access control that prevents unauthorized users from even knowing certain predictive models exist.
What security patterns have others implemented for predictive analytics APIs handling sensitive data? Particularly interested in encryption approaches, logging strategies that balance security with compliance requirements, and how to implement granular access control for different forecast categories.