# What Is New Account Fraud? | Glossary | Dregs

New account fraud is a new account that is not a genuine customer. Banks mean stolen or synthetic identity. SaaS operators usually mean fake signups.

# What is new account fraud?

New account fraud is the opening of an account that is not a genuine customer. The phrase covers two different jobs. In banking and financial services it means someone opening an account with a stolen or synthetic identity, usually checked with identity documents (KYC). On a SaaS product it means junk in the user table: fake signups, disposable emails, and tire-kickers at registration.

## The banking meaning

Banks, lenders, and KYC vendors use new account fraud for a financial account opened in someone else's name, or in a name that was invented. The identity may be stolen outright, or it may be synthetic: real fragments combined into a person who does not exist. The check is an identity document, a bureau file, or a similar KYC step. Detection and prevention in that world are about whether the applicant is the person on the document.

Dregs is more tailored to SaaS signup abuse than to that job. It does not collect identity documents, and it is not a bank KYC product. If the incident is a stolen or synthetic identity used to open a financial account, a KYC or banking fraud vendor is the closer fit.

## The SaaS meaning

On a SaaS signup form the same words usually describe a different mess. The account is not a prospect. The name is keyboard mash or a generator's output, the inbox is disposable, or a tire-kicker wanted a look behind the login wall and will not be back. Operators call that [fake signups](/use-cases/fake-signups/). The damage is junk in the user table, wasted onboarding, and metrics that count fiction as growth.

Dregs is one layer for that problem. It scores [Authenticity](/authenticity-score/) (could this identity belong to a real person), [Humanity](/humanity-score/) (human or bot), [Uniqueness](/uniqueness-score/) (has this device done this before), and [Behavior](/behavior-score/) (did the visitor look at anything before submitting). Every score opens into its observations, so you can see exactly why an account was flagged and catch false positives before a legitimate signup is punished. Custom rules and lists decide the response, with less manual review than combing the user table by hand.

Neighboring SaaS patterns are [free trial abuse](/use-cases/free-trial-abuse/) (the same person, a fresh email), [duplicate accounts](/use-cases/duplicate-accounts/) (one operator, several accounts), and [bot detection](/use-cases/bot-detection/) (the form filled by a script). [Signup abuse](/glossary/signup-abuse/) is the wider name for that cluster.

## Payment fraud and chargebacks

Catching junk signups earlier in the funnel can also reduce downstream payment fraud and chargebacks, because fewer bad accounts ever reach a card. Dregs does not replace Stripe Radar or dispute tooling. It scores the accounts. The processor still handles the transaction.

## Frequently Asked Questions

### Q: What is new account fraud?

A: New account fraud is the opening of an account that is not a genuine customer. The phrase is used for two different jobs. In banking and financial services it means opening a financial account with a stolen or synthetic identity, usually checked with identity documents (KYC). On a SaaS product it means junk in the user table: fake signups, disposable emails, and tire-kickers at registration. The same SaaS pattern is also called account creation fraud.

### Q: How do you detect new account fraud?

A: It depends which meaning you have. Banking detection looks for a stolen or synthetic identity and checks identity documents. SaaS detection scores the signup: whether the identity could belong to a real person, whether a human submitted it, whether the visitor explored anything first, and whether the same device is producing several accounts. Dregs is built for the SaaS job. It scores Authenticity, Humanity, Uniqueness, and Behavior at submission, and every score opens into its observations so you can see exactly why before you act.

### Q: How can you prevent new account fraud?

A: On a SaaS product, prevent it by scoring the signup before onboarding, then responding in a way that matches how expensive a false positive would be: provision nothing behind a junk account, step up verification, or send only flagged signups to a review queue. Dregs delivers scores by webhook almost as soon as the signup lands, so the application can quarantine fake signups with less manual review. That is not a bank KYC control. Dregs does not collect identity documents.

### Q: Is Dregs a KYC or synthetic identity product?

A: No. Dregs is more tailored to SaaS signup abuse than to banking and financial new account fraud, KYC, or synthetic identity. It does not collect identity documents, and it is not a bank KYC product. For the SaaS meaning, start with [fake signups](/use-cases/fake-signups/). Catching junk signups earlier in the funnel can also reduce downstream payment fraud and chargebacks. Dregs does not replace Stripe Radar or dispute tooling. It does not decline cards, process payments, or manage chargebacks.

## Further Reading

[Fake Signups The SaaS operator page: junk registrations scored at submission.](/use-cases/fake-signups/) [Signup Abuse The wider category: fake signups, trials, bots, referrals, and duplicates.](/glossary/signup-abuse/) [Free Trial Abuse The same person claiming the trial under a fresh email.](/use-cases/free-trial-abuse/) [Bot Detection Automated registrations from rotating IPs and inboxes.](/use-cases/bot-detection/)

Or browse [the full glossary](/glossary/).

## Detect fake signups before they land in your user table.

Dregs helps you score SaaS signups for [authenticity](/authenticity-score/), [humanity](/humanity-score/), [uniqueness](/uniqueness-score/), and [behavior](/behavior-score/). It is built for junk accounts and signup abuse, not for banking KYC or synthetic identity checks.

[Start Free Trial](/dashboard/register)

Source: https://dregs.com/glossary/new-account-fraud/

