RBIH's MuleHunter.AI adopted by 23 banks; RBI withholds figures

MediaNama's RTI (December 2025) found 23 banks had implemented RBIH's MuleHunter.AI, which analyzes transaction patterns to spot mule accounts; the RBI refused to release detection figures, citing ...

AI system

System

MuleHunter.AI

Model

Not assessed

Release

Not assessed

Application developer

Reserve Bank Innovation Hub (RBIH)

Role

Not assessed

Configuration

Not assessed

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

Cross-bank transaction and account-activity pattern analysis run by a central-bank-owned hub.

Human oversight

Not assessed

Relation to AI

The tool is described as AI-based pattern analysis across banks. No detection result is available to assess its contribution. RBIH, a central-bank subsidiary, developed it. Commercial and public-sector banks deploy it.

AI contribution

Not assessed

Benefits

Outcome identifiers

Not assessed

Benefit

MediaNama's RTI (December 2025) found 23 banks had implemented RBIH's MuleHunter.AI, which analyzes transaction patterns to spot mule accounts; the RBI refused to release detection figures, citing ...

Category

Reduced Risk

Status

Not assessed

Beneficiary groups

Organizations. Society.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

Not assessed

Comparison

Not assessed

Results

Not assessed

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

Not assessed

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

Not assessed

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Reserve Bank Innovation Hub (RBIH). Operator: 23 Indian banks as of 10 December 2025, including Canara Bank, Punjab National Bank, Bank of India, Bank of Baroda, AU Small Finance Bank and Federal Bank.

Jurisdictions

Developer: India. Operator: India.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Bank adoption and data sharing with the hub. Public disclosure of detection outcomes, without which no evaluation is possible.

Replication attempts

1 follow-up entries. Outcome unresolved: 1.

Later findings

12 May 2026. I4C and RBIH signed an MoU to feed suspect identifiers from I4C's Suspect Registry into MuleHunter.ai and to use the data to retrain it.

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0180-source-0001–0002

Citations

Numbered references below.

Language

Not assessed

Source relationships

Independent, Developer

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

Organizations. Society.

Depth

Not assessed

Reasons

Organizations: No count of mule accounts identified or frozen is disclosed. The RBI refused the RTI request for that data. Society: No fraud loss avoided is documented.

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

Independently reported

Entry details

Kind

Not assessed

Field

Anti-money laundering and cyber fraud. Mule account detection.

Purpose

Identify bank accounts likely used as money mules in financial fraud.

Dates

Date basis unassessed: 2025 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: 3a66e7de9ab0…

References

Other identifiers

Not assessed

Category mappings

Not assessed

Brief

Not assessed

Revisions

6 revisions. Latest: 21 October 2026.

Sources

  1. News report Independent author

    Prabhanu Kumar Das, MediaNama, 30 December 2025

  2. Press release Developer

    Press Information Bureau (2026). I4C and RBIH Sign MoU to Strengthen AI-Driven Detection of Mule Accounts and Cyber Financial Frauds. Ministry of Home Affairs via PIB, 12 May 2026.