A private-beta identity verification project

Know who's pretending to be you — and who's pretending to be someone else.

AreTheyMe runs identity scans across breach data, public records, social surface, and our own threat intelligence. Two modes. One way to think about it.

AreTheyMe Personal

Find the version of you that isn't you.

Surface impersonators, breached credentials, and unwanted listings — before someone you care about runs into them.

AreTheyMe Screening

Spot the candidate fraud your background check can't.

Built for the threats background checks miss: fabricated employment, stolen identities, and synthetic personas.

For individuals

Your identity, observed by no one but you.

Tell us who you are. We'll tell you who else is using your name, your photo, your email — and what you might do about it.

🔍

Impersonation surface

We look across the public web and known threat-intel datasets for accounts that wear your name without permission.

🔐

Credential exposure

Find out which of your email addresses, phone numbers, and passwords have shown up in breaches you didn't know about.

📬

Quiet alerts

We watch for net-new matches and only email you when something actually changes. Verified opt-in. One-click unsubscribe.

For business

The candidate fraud detection layer.

Not a background check. Not a CRA report. A fraud-signal layer for the hiring threats that have outpaced legacy vendors.

High concern Employment fabrication

Shell-company detection. Registry depth. Virtual-office addresses. Director overlap. Web-surface absence where there should be presence.

High concern Persona reuse / stolen identity

Match against a first-party threat-intel set and against past scans in your org. Catch the same persona renting across multiple roles.

Medium concern Geographic inconsistency

Commit timezones, interview-call IP geolocation, and observed activity windows reconciled against the candidate's claimed location.

Medium concern Synthetic persona signals

Account-age clustering. GAN-artifact heuristics on supplied photos. LLM-text tells in candidate-authored copy.

Low concern Contact identifier anomalies

VoIP-only phone numbers. Disposable email domains. Domain age inconsistent with claimed employment.

Illustrative
Candidate: J. Park
scan_4f1c · illustrative example
High
employment_fabrication High
persona_reuse High
geo_inconsistency Medium
contact_anomaly Medium
education_fabrication Low
synthetic_persona Low
How it works

Four steps. One picture.

Step 01

Enter the identity

Manually, from a résumé upload, or pulled live from your ATS.

Step 02

Consent & scan

Server-side consent attestation. Multi-provider orchestration, in parallel.

Step 03

Per-category scoring

Seven risk dimensions, each scored independently with provider attribution.

Step 04

Report & act

Web report, PDF export, ATS write-back. Re-scan or escalate in one click.

An experiment, not a product launch.

AreTheyMe is in private beta while we explore what's useful and what isn't. Access is by invitation. If you're already invited, sign in below.