It helps by checking user behaviour, connections, locations and unusual transactions.

It can analyse a huge amount of data much faster than humans.

But does AI completely replace humans?

No.

Humans can still review suspicious transactions and make the final decision.

Overall, AI helps make digital financial services safer, faster and more secure.

This is where transparent reporting helps.

Instead of simply saying that a transaction is risky, AI can show the reasons.

For example:

The device is new. The location is unusual. The transaction amount is very high. Many transactions happened in a short time.

AI learns our normal spending pattern and looks for anything that is different.

For example, if someone normally spends ₹500 to ₹2,000 but suddenly makes a payment of ₹80,000 from a new device, AI can flag it.

AI can look at where a customer normally makes their transactions.

For example, if a person usually makes payments in Bengaluru but suddenly there is a large transaction from a completely different location, AI may flag it.

AI looks at the connections between users, devices, businesses and transactions.

For example, if many suspicious accounts are connected to the same device or IP address, AI can identify that connection.

AI learns how a person normally uses their banking app. It can check things like typing speed, swiping patterns and login behaviour.

So, if someone else gets access to the account and their behaviour is very different, AI can detect it and flag the activity.

We all use online banking and digital payments today. But with more digital payments, there is also a higher risk of fraud.