Plaid IDV gives specific risk scores for both stolen identity and synthetic identity risk. By analyzing data such as name, email, phone number, address, birthday and social security number, we can provide a score from 0-100% indicating the likelihood the provided identity has been stolen, falsified, or fabricated.
- Synthetic Identity Risk: analyzes the user’s PII for risk they’re using a fabricated or manipulated identity.
- Stolen Identity Risk: analyzes the user’s PII for risk they’re using PII related to a stolen identity.
On an Identity Verification session, these checks will be tagged as either Low, Medium, or High risk. The scoring thresholds for Stolen and Synthetic Identity risk attributes are as follows:
- Synthetic: Low < 60% | Medium < 70% | High >= 70%
- Stolen: Low < 80% | Medium < 90% | High >= 90%
Our models have been trained on millions of identities and third party data such as credit header files, phone carrier records, bankruptcies and many more to accurately assess and predict the likelihood of identity theft or manipulated identities.
For example, stolen and synthetic risk scoring conducts checks such as:
- If the PII is associated with a deceased individual
- How many identities are associated with a phone number or email
- If a user has history associated with another social security number
- Whether the social security number issuance aligns with the user’s history
- Length of time a user leverages the provided social security number
- Length of history of phone and email addresses