  In this paper, we explore the challenges of ensuring security and privacy for
users from diverse demographic backgrounds. We propose a threat modeling
approach to identify potential risks and countermeasures for product inclusion
in security and privacy. We discuss various factors that can affect a user's
ability to achieve a high level of security and privacy, including low-income
demographics, poor connectivity, shared device usage, ML fairness, etc. We
present results from a global security and privacy user experience survey and
discuss the implications for product developers. Our work highlights the need
for a more inclusive approach to security and privacy and provides a framework
for researchers and practitioners to consider when designing products and
services for a diverse range of users.
