BYOD comes with dual concerns: Employees worried about privacy and organizations worried about security of their in-house applications. Embedding machine learning in applications can overcome concerns faced by companies allowing BYOD to access in-house applications. This session presents an architectural development strategy of uniting machine learning with in-house apps securing the concerns.