A powerful fraud risk assessment API that delivers reputation scoring based on phone number intelligence, traffic patterns, machine learning and a global data consortium.
ASSESS FRAUD RISK WITH
PHONE NUMBER INTELLIGENCE & MACHINE LEARNING
At an alarming rate, bad actors are creating online and mobile application accounts that result in spam, phishing attacks, promo abuse and other costly fraud. Through the registration of fake accounts, fraudsters are able to attack legitimate users and damage a brand’s value, revenue and growth. Effectively identifying and blocking these harmful users at account registration, while streamlining the process for authentic and valuable users, has become critical.
USER ENTERS PHONE NUMBER
INVOKE MACHINE LEARNING
EVALUATE PHONE DATA ATTRIBUTES
REVIEW PHONE NUMBER VELOCITY
DETECT PHONE NUMBER TRAFFIC PATTERNS
CHECK FOR HISTORY OF FRAUD
SCORE THE NUMBER & EVALUATE RISK
PHONE NUMBER DATA & ANALYTICS
Phone number data attributes including phone type, telecom carrier, account and device ID and IP address are evaluated to identify potential fraud risk.
GLOBAL FRAUD DATA CONSORTIUM
Score leverages TeleBureau™, TeleSign’s global database of customer-contributed phone number reputation information, to help detect and identify known fraud faster. This also further calibrates scoring algorithms based on specific uses cases.
TRAFFIC PATTERN RECOGNITION
Anomalous traffic behavior patterns may raise a red flag. For example, if passcode requests are received in five different languages from the same number in the same week, it may be a sign that a phone is being shared, and the risk score will increase accordingly.
MACHINE LEARNING & RULES-BASED SYSTEM
Machine learning trains a customized model to uncover hidden insights in data to populate a range of fraud predictors. A rules-based system uses a historical fraud research knowledge base to evaluate risk. Customized machine learning models further increase the effectiveness and accuracy of Score’s fraud detection capabilities.
If a particular number or range of numbers is seen repeatedly on one or more Web service within a relatively short timeframe, the number may be flagged as suspicious, increasing risk score.
ACTIONABLE RISK ASSESSMENT
A data-driven risk assessment score is delivered that helps determine the appropriate action of whether to allow, block, or flag a registration or transaction.
GROW USER BASE RESPONSIBLY
Streamline the account registration process, increase conversions and securely grow ecosystem of verified and valuable users.
IDENTIFY FAKE & SUSPICIOUS USERS
Mitigate more fraudulent activity and validate that end-users are who they say they are.
PROTECT BRAND REPUTATION AND VALUE
Reduce the negative impacts of fraud while creating a more authentic and valuable user base.
We needed more data on our customers. We match our data with TeleSign’s data and it gives us greater assurance that our customers are actually who they say they are, which reduces fraud.
JONATHAN EPPERS, CEO
How It Works
Score & Machine Learning
At TeleSign, our Data Science team is using machine learning to power our Score API, which can now predict and prevent end-user account fraud with increased accuracy, in real time. See how!