DEMO: Fraud Detection for Financial Transactions

Sample Rules

Unusual Activity
  1. Flag transactions as potentially fraudulent if
    • User makes transactions in two different countries within a short time frame.
    • User makes multiple high-value transactions in a day.
Merchant Rules
  1. Flag transactions for additional verification if from a new or unverified merchant.
  2. Automatically reject transactions from known fraudulent merchants.
Anomaly Detection
  1. Flag transactions as potentially fraudulent based on anomaly detection of transaction amounts compared to user's typical spending behavior.

FIRU Engine

FIRU Engine tests the data that comes from company's database against the segments defined based on the predictive analysis system and displays the results for each transaction

FIRU Results

Unusual Activity New Merchant Known Fraudulent Merchant Anomaly Detection
Customer 1
DATA:
Transactions In Two Countries: yes
Transactions Within Short Time: no
Multiple Transactions With High Value: no
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: no
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

-

 		RESULT:

-

 		RESULT:

Flag as potentially fraudulent
Customer 2
DATA:
Transactions In Two Countries: yes
Transactions Within Short Time: no
Multiple Transactions With High Value: yes
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

-

 		RESULT:

Reject

 		RESULT:

Flag as potentially fraudulent
Customer 3
DATA:
Transactions In Two Countries: no
Transactions Within Short Time: no
Multiple Transactions With High Value: yes
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: no
RESULT:

-

 		RESULT:

-

 		RESULT:

Reject

 		RESULT:

-
Customer 4
DATA:
Transactions In Two Countries: yes
Transactions Within Short Time: yes
Multiple Transactions With High Value: no
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

-

 		RESULT:

Reject

 		RESULT:

Flag as potentially fraudulent
Customer 5
DATA:
Transactions In Two Countries: yes
Transactions Within Short Time: yes
Multiple Transactions With High Value: no
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

-

 		RESULT:

Reject

 		RESULT:

Flag as potentially fraudulent
Customer 6
DATA:
Transactions In Two Countries: yes
Transactions Within Short Time: no
Multiple Transactions With High Value: no
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: no
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

-

 		RESULT:

-

 		RESULT:

Flag as potentially fraudulent
Customer 7
DATA:
Transactions In Two Countries: yes
Transactions Within Short Time: yes
Multiple Transactions With High Value: yes
DATA:
Is Merchant New: yes
DATA:
Is Merchant Known As Fraudulent: no
DATA:
Has Anomaly Detected: no
RESULT:

Flag as potentially fraudulent

 		RESULT:

Flag for additional verification

 		RESULT:

-

 		RESULT:

-
Customer 8
DATA:
Transactions In Two Countries: no
Transactions Within Short Time: yes
Multiple Transactions With High Value: no
DATA:
Is Merchant New: yes
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

Flag for additional verification

 		RESULT:

Reject

 		RESULT:

Flag as potentially fraudulent
Customer 9
DATA:
Transactions In Two Countries: no
Transactions Within Short Time: no
Multiple Transactions With High Value: yes
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: no
RESULT:

-

 		RESULT:

-

 		RESULT:

Reject

 		RESULT:

-
Customer 10
DATA:
Transactions In Two Countries: no
Transactions Within Short Time: no
Multiple Transactions With High Value: no
DATA:
Is Merchant New: no
DATA:
Is Merchant Known As Fraudulent: yes
DATA:
Has Anomaly Detected: yes
RESULT:

-

 		RESULT:

-

 		RESULT:

Reject

 		RESULT:

Flag as potentially fraudulent

CONTACT

Mezura Systems Ltd.

C/O Unit 4, Kinetica, 13 Ramsgate Street, London, Greater London, United Kingdom, E8 2FD

info [at] mezura.co.uk