Unusual transaction monitoring detects anomalies based on your spending history. Using a proprietary machine learning model, Aura reviews historical transactions from your linked accounts and detects if an unusual pattern in your spending behavior surfaces, such as the amount you spent with a specific vendor or in a specific category.
For example, you regularly spend a few dollars a day at your local coffee shop. Then, suddenly, we detect a $100 transaction at that coffee shop. This kind of unusual activity would be flagged because it is outside of your typical spending habits.
If a transaction is flagged, we notify you of the amount, date, merchant, and bank account or credit card.