Protect against synthetic identity fraud
Synthetic identity fraud is the fastest-growing financial crime; preventing it requires an innovative approach ranging beyond traditional credit data
Our standard for defining synthetic identities allows us to detect and predict them throughout the customer lifecycle with automated detection rules that evaluate a variety of behaviors.
Resolve identities and isolate synthetic traits to reduce false positives and fraud losses with custom scores and decisioning strategies. Link fraud scores with device intelligence and relationship history to gain a holistic view of each identity.
Our expansive and comprehensive credit data, alternative credit data, partner credit data and involvement in the electronic Consent Based Social Security Number Verification (eCBSV) pilot combine to give you a complete view of your customers’ identities so you can definitely resolve identities and isolate synthetic traits.
Perform synthetic identity checks at onboarding, first-time login, and return visits to ensure that no false identities are embedded in your portfolio.
Reduce false positives, referrals, and manual reviews while mitigating losses associated with synthetic identity attacks.
Provide a seamless experience for known consumers while applying appropriate friction to riskier transactions.
Synthetic identity fraud occurs when someone uses a combination of real and fake personal information to create an identity and commit fraud. A synthetic identity might include a stolen Social Security number with a fake name, date of birth, and address to create a “new” identity.