The identity they created never existed.
We find it before it costs you.
Synthetic and fake identities are the fastest-growing fraud category. myNetWatchman detects them at the moment of creation — using live signals from criminal infrastructure, not pattern matching on historical data.
Synthetic identities pass every traditional check.
That's the point.
Fraudsters don't steal identities anymore — they build them. Synthetic accounts combine real and fabricated data to create identities that look legitimate to every verification layer you have. By the time losses appear, the account is long established.
Fabricated Identities
Criminals combine real SSNs (often from children or thin-file individuals) with invented names, addresses, and dates of birth. The result passes credit bureau checks and KYC screens with no friction.
Fake & Disposable Email Addresses
Synthetic accounts are built on email addresses that don't represent real humans — disposable domains, tumbled aliases, AI-generated addresses. Standard email validation cannot detect them.
Account Farm Tactics
Fraudsters create thousands of accounts in coordinated waves — varying BINs, email patterns, and device fingerprints to avoid velocity triggers. Each account looks independent. Together they're infrastructure.
Long Incubation Periods
Synthetic accounts are often built up over months — making small transactions, establishing credit history — before a single large fraudulent event. By then the losses are real and the trail is cold.
We watch how criminal infrastructure behaves.
Not how their identities look.
Synthetic identity fraud defeats checks based on identity data because the data is designed to pass. myNetWatchman detects it through behavioral signals — what criminals actually do when they build and test fake accounts.
Email Reputation — Fake Identity Signals
myNetWatchman Email Reputation identifies disposable domains, tumbled alias patterns, AI-generated addresses, and emails with no real human-use history — flagging synthetic identity risk at account creation in milliseconds.
Credential Screening — Credential Pattern Detection
When criminals test synthetic accounts at scale, the credential patterns are visible in our network. Credential Screening screens incoming credentials against live signals of mass account-creation fraud — not just known-compromised pairs.
Real-Time — At the Moment of Creation
Detection happens inline at signup — before the account is established, before credit is extended, before any value is at risk. The intervention window is open for seconds. We use it.
Behavioral Intelligence, Not Rules
Our signals come from observing real criminal behavior across thousands of attack events — not from rules written to catch yesterday's tactics. When fraud techniques evolve, our intelligence evolves with them.
The numbers behind the detection.
Two signals. Deployed together or independently.
myNetWatchman's synthetic account detection capability is delivered through two products that can be deployed at signup independently or together for maximum coverage.
Email Reputation
At signup, screen the submitted email address for fake identity signals — disposable domains, alias tumbling, AI-generated patterns, and the absence of any real human-use history.
- ✓ Is this a disposable or temporary email?
- ✓ Is it an alias, proxy, or tumbled address?
- ✓ Is it AI-generated or synthetic?
- ✓ Does it show real human-use behavior?
Credential Screening
Screen the submitted credential pair against live criminal intelligence. When fraudsters test synthetic accounts at scale, credential patterns are visible in our network before the account is created.
- ✓ Is this credential already in criminal hands?
- ✓ Is it part of a mass account-creation pattern?
- ✓ Has it appeared in live credential testing?
- ✓ No PII stored or transmitted
How many synthetic accounts are in your system right now?
Send us a sample of recent signups — we'll show you exactly how many are synthetic or fake. Free POC. No commitment.