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Insights

Trust analytics in fintech

By

Raphael Schäfer

With the rise of digital banking and online financial services, trust analytics is used to assess the risk of fraud, identify potential money laundering, and detect other suspicious activities.

Trust analytics is becoming an increasingly important aspect of the FinTech industry. With the rise of digital banking and online financial services, trust analytics is used to assess the risk of fraud, identify potential money laundering, and detect other suspicious activities.

One of the main ways in which trust analytics is used in FinTech is through identity verification. Financial institutions must ensure that they are dealing with legitimate customers and not fraudulent actors. Trust analytics can be used to verify the identity of customers by analyzing data from various sources, such as social media profiles, public records, and credit reports.


Another important aspect of trust analytics is transaction monitoring. Financial institutions must be able to detect suspicious transactions and activities that may indicate fraud or money laundering. Trust analytics can be used to analyze large amounts of transaction data and identify patterns that may indicate suspicious activity.


Trust analytics is also used to detect and prevent account takeover. With the increasing use of mobile and online banking, it's become easier for fraudsters to gain access to customer accounts. Trust analytics can be used to identify unusual account activity and detect login attempts from unfamiliar devices, IP addresses, or locations.

Finally, trust analytics can also be used in the fight against financial crime. This includes detecting and preventing activities such as money laundering, terrorist financing, and other forms of financial crime. Trust analytics can be used to identify and analyze patterns and anomalies that may indicate criminal activity.


In conclusion, trust analytics is becoming an essential tool for FinTech companies to ensure the security and integrity of their customer data. Trust analytics can be used for various purposes such as identity verification, transaction monitoring, account takeover prevention and fighting financial crime. By using trust analytics, FinTech companies can improve their customer's trust and confidence in their services, which is crucial for their business.

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