Example story: holding a coached payment before it leaves
Example story, replace before launch. The same layout for a fraud story: the payment journey, the signals read in the session, and the decision with its reasons.
DeepID is in production at banks, lenders, payment firms and consumer apps, from J&K Bank and Airtel Payments Bank to Zomato and Rapido. Their stories appear here once each one is agreed and measured on their own traffic.
In production today at banks, lenders, payment firms and consumer apps.
Bank
Payments bank
Non-bank lender (NBFC)
Fintech
Payment aggregator
Crypto investment app
Food delivery app
Ride-hailing app
The same rules as the rest of the site.
A customer is named only with their written agreement, and only in the words they approve.
Any figure comes with its method, its dataset and its date, measured on the customer’s own traffic against criteria agreed before the pilot. No story claims regulator approval: DeepID supports compliance and never guarantees it.
Until the first stories are published, two placeholder examples show how each one is set out. Every detail in them is a placeholder.
Example story, replace before launch. The same layout for a fraud story: the payment journey, the signals read in the session, and the decision with its reasons.
Example story, replace before launch. How a customer story is set out: the starting point, what changed in the journey, and how it was measured on the customer’s own traffic.
We show your fraud, security and engineering leads how DeepID would run your sign-up, login or payment journey, then plan a pilot on your own traffic.