The best way to combat fraud is with the most up-to-date and accurate information. Our comprehensive set of tools – including Bot Detection, Proxy & VPN Detection, Email Validation and Device Fingerprinting – combined with real-time risk scoring means you’ll be protected from fraudulent activities before they cause any damage.
In addition to the data gathered from user actions, SEON’s machine learning capabilities also evaluate the risk associated with a transaction based on past behaviour. This helps to create a profile for each user and the most common types of transactions. Then, when new activity deviates from this profile, it can be flagged and alerts sent for manual review.
Overview of Transaction Scoring API: Why It Matters
Using this intelligence, Overview of Transaction Scoring API can automatically approve legitimate transactions and prevent payment fraud. This reduces fraud losses and customer friction. And when a fraud score suggests a potentially high level of risk, the appropriate action can be taken without interrupting the customer journey or incurring additional cost.
Once the transaction is analyzed, a risk decision (also known as a fraud score) is synchronously returned in the response to the risk endpoint. A risk score is a value that indicates the likelihood of fraudulent transaction behaviour and it’s calculated by comparing the transactional data against models that have been proven to indicate fraudulent behaviour. The more closely the transaction matches fraudulent behaviour, the higher the risk score. Depending on the workflow you’re running, this score may be used to trigger an alert, prompt for a manual review or even reject the transaction entirely.