AT Fraud prevention

AtData

Email validation and email-based risk scoring for onboarding, run inside your Zenoo flows.

At a glance

Overview

AtData overview

AtData provides email validation and email-based risk scoring used to catch toxic or risky addresses at onboarding. It suits larger operations that process high volumes of records and value accuracy and audit-ready documentation. Inside Zenoo it runs as a pre-check ahead of fuller identity and AML steps.

Company
AtData
Category
Fraud prevention
Strongest in
Email validation and risk scoring
Best fit
High-volume operations needing accuracy

Where it is strongest

Key strengths

What AtData does well.

01

High-accuracy validation

Community reports cite strong deliverability scoring and toxic email detection at scale.

02

Audit documentation

Some reports value its compliance certificates for audit purposes, useful for legal and compliance teams.

03

Enterprise scale

Some reports describe handling very high record volumes with high API uptime.

04

Regulatory coverage

Published capabilities cover CAN-SPAM, CASL, and GDPR requirements for email data handling.

Who it suits

Best for

Where AtData fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Larger operations that need high-accuracy email validation and audit-ready documentation at high volume
Considerations
  • Commercial minimums. Some reports mention annual minimums and longer contracts that can suit larger teams better than smaller ones. In Zenoo you can pair AtData with a lighter check for lower-volume segments.
  • Onboarding and documentation. Some reports mention slower onboarding and dated API documentation. Zenoo handles the connector build for you, so your team integrates once and routes through us.
  • False positives on valid emails. Some reports cite false positives on legitimate addresses. Running AtData as a pre-check in Zenoo means flagged records can still proceed to a fuller identity step rather than being dropped.
You

Open the customer's case

What your team sees

The AtData result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
AtDataRecorded
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.