What percentage of Indian banks will adopt MuleHunter AI by June 30, 2025?
0-25% • 25%
26-50% • 25%
51-75% • 25%
76-100% • 25%
Surveys or reports from the RBI or financial industry bodies
RBI Launches Advanced MuleHunter AI Tool to Identify Mule Accounts and Combat Digital Fraud
Dec 6, 2024, 12:32 PM
The Reserve Bank of India (RBI) has introduced MuleHunter AI, an advanced artificial intelligence and machine learning tool designed to identify and flag suspected mule accounts. This initiative aims to combat the increasing prevalence of digital fraud and money laundering, which are often facilitated by these accounts. The RBI has urged banks to collaborate with this innovative solution to enhance their capabilities in tackling financial crimes. The launch of MuleHunter AI reflects the RBI's commitment to leveraging technology in the fight against financial fraud.
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More than 70% • 25%
51% to 70% • 25%
30% to 50% • 25%
Less than 30% • 25%
30% to 50% • 25%
Less than 30% • 25%
51% to 70% • 25%
More than 70% • 25%
25% to 50% • 25%
Less than 25% • 25%
51% to 75% • 25%
More than 75% • 25%
Yes, major banks adopt blockchain • 25%
Other technologies adopted • 25%
No adoption • 25%
No, minor adoption only • 25%
25% to 50% of employees using AI • 25%
Less than 25% of employees using AI • 25%
50% to 75% of employees using AI • 25%
Over 75% of employees using AI • 25%
Less than 10% • 25%
26% to 50% • 25%
More than 50% • 25%
10% to 25% • 25%
5 to 10 million • 25%
More than 10 million • 25%
1 to 5 million • 25%
Less than 1 million • 25%
26-50% • 25%
11-25% • 25%
0-10% • 25%
51% or more • 25%
Less than 50% • 25%
76-90% • 25%
More than 90% • 25%
50-75% • 25%
Goldman Sachs has the most AI users • 33%
Morgan Stanley has the most AI users • 33%
JPMorgan Chase has the most AI users • 33%
Goldman Sachs • 25%
Citigroup • 25%
JPMorgan Chase • 25%
Other • 25%
Yes • 50%
No • 50%
0-5 countries • 25%
16+ countries • 25%
11-15 countries • 25%
6-10 countries • 25%