Platform · Coming soon
Mule & Fraud Intelligence
Connect the scams on the open internet to the accounts that collect the money.
The problem
Money-mule accounts move fraud proceeds quickly. Large banks have enterprise fraud systems and RBI’s MuleHunter.AI. Many co-operative banks, NBFCs and payment companies need practical tooling that works alongside these.
What you get
This module is not yet available. We are looking for a small number of design partners to shape it, starting with a 60-day back-test on historical data.
Key features
- Entity graph linking customer, account, device, phone and beneficiary
- Mule-ring detection: shared devices or beneficiaries, rapid in-and-out flows, dormant-account reactivation
- Intake and enrichment of alerts from your existing fraud system and from MuleHunter.AI where deployed
- Links scam infrastructure (a fake app or site) to the accounts that collect the money
- Early-warning-signal (EWS) rule library and testing-evidence reports for inspections
- Roadmap: DPIP signal integration subject to access, real-time scoring API, consortium mule exchange
Helps with
- RBI Fraud Risk Management Directions (co-operative banks) Source (opens in a new tab)
- RBI Fraud Risk Management Directions (NBFCs) Source (opens in a new tab)
- MuleHunter.AI (background) Source (opens in a new tab)
FAQ
Does this replace MuleHunter.AI or our EFRM?
No. It is designed to complement them. MuleHunter.AI is an RBI Innovation Hub tool, and Prahari is not affiliated with RBI or RBIH.
When will it be available?
We will share timelines with design partners. Join the waitlist below.
Design-partner waitlist
Tell us about your organisation and we will be in touch. Use the contact form →
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