Prove Blog

FinTech startups logically want data to be freely available to customers (and startups, of course), while banks tend to be protecting precious information they own.

Exponential growth in digital transactions globally and increasing sophistication in fraud have highlighted the need for an algorithmic model that taps into multiple data sources and attributes in order to assess the trustworthiness of a transaction.

IoT is a network of physical objects that gathers as well as transmits information for data processing and insights.

In the digital-first world, startups from multiple industries such as e-commerce, financial, healthcare, and insurance are getting impacted due to customer impatience with application experiences.

Identity verification and authentication leader recognized for dramatic 670% revenue growth and innovative solutions

The typical solution approach to addressing these problems is highly fragmented in an enterprise. However, with a single platform that satisfies many use cases, you could rationalize and streamline the enterprise solution landscape.

B2B payments technologies have been moving at a snail’s pace, and the conventional systems are riddled with high costs and inefficiencies.

Prove, the newest member of the Good Health Pass Collaborative, will provide the group with expertise on preventing fraud by reliably authenticating users with just their phone numbers.

Leading digital identity technology company Prove recognized for most promising future and best work environment for its employees

The UK Digital Identity and Attributes Trust Framework details the principles, policies, and standards that must be followed by organizations providing or using digital identity services.

Here are some interesting examples of machine learning applications in banking.

Apple Pay has delivered many good things. But there are dark clouds on the horizon.