Synthetic Identity Fraud.
A fraud pattern that constructs new "identities" by combining real and fabricated data — typically a real Social Security Number (often a child's, before credit history exists) with a fake name, fake birthdate, fake address — to build credit and commit fraud at scale.
The architectural challenge: synthetic identities can pass document-verification IDV at signup because the fabricated documents may be technically valid (real SSN, plausibly forged supporting documents). Detection often happens longitudinally — anomaly patterns in account behavior, missing authoritative-data corroborations over time. Combining CIAM identity signals with credit-bureau and authoritative-source verification is the production defense pattern.
Common questions
What is synthetic identity fraud?
How is synthetic ID different from identity theft?
Can CIAM detect synthetic identities at signup?
Related terms
In the guides
Account Takeover Defense: A Layered Approach for 2026
ATO is the single largest CIAM threat in 2026. The defense stack is layered, credential stuffing protection, MFA, session management, and recovery design, each addressing a different attack class.
Identity Verification and Proofing (IDV/KYC): A CIAM Guide for 2026
How to prove a real person matches a claimed identity at signup — document capture, liveness, authoritative-data checks. The 2026 stack, the deepfake escalation, and where CIAM ends.