Sift transforms fragmented digital identity data into contextual insights for more accurate and effective fraud operations. Digital consumers leave fragmented trails of transactions, locations, devices, and other behavioral signals across merchant and financial platforms. Traditional fraud prevention methods capture only isolated parts of a user’s digital footprint, reducing confidence and accuracy in risk decisioning, and cutting into revenue. With Identity Trust XD, Sift solutions now transform identity insights into a cross-dimensional user story, providing crucial, embedded context so that risk teams can make more informed decisions.