Telesign Intelligence is like a credit check for digital profiles. You submit a phone number, IP, and email to the service, the individual identifiers are each evaluated, and then a score is returned telling you how risky that user is. You decide whether to proceed based on the score.
Along with the score, you can also get a set of insights reason codes that provide more granular and contextual intelligence on the digital behavior driving the risk score.
Stop fraud from the start. Prevent fake users at scale, detect synthetic identity fraud, put an end to promotion abuse, and eliminate international revenue share fraud.
Intelligence evaluates phone number, IP, and email data attributes including phone type, telecom carrier, account ID, device ID, VPN/proxy use, and domain to identify potential fraud risk.
It also evaluates anomalous traffic behavior patterns and usage velocity, as these may raise red flags.
Examples of suspect behavior patterns include:
- Passcode requests are received in five different languages from the same number in the same week, from IPs in multiple countries
- If a range of numbers are seen repeatedly on one or more web services, it may be a sign that a digital profile is being shared.
When we identify suspect behavior patterns like these, the risk score increases accordingly.
The Intelligence machine learning model can also evaluate custom labels and traffic provided by you to adapt to your scoring requirements. By combining all these intelligence sources, we can help you prevent attacks such as International Revenue Share Fraud (IRSF) and other types of scams. If you choose to use these custom features, you can tailor the service to look for scams that specifically affect your business and traffic.
- POST /intelligence - Evaluate the specified end user, requesting a risk score and related insights.
Updated about 1 month ago