Three shoppers buy the same pair of sneakers at the same time:
If you put all three through heavy verification checks, the genuine shoppers will abandon their cart. But if you apply only lightweight checks, the third customer may slip right through undetected.
The solution is verification that adjusts to the risk in front of you. Identity verification solutions that can fast-track trusted shoppers while escalating suspicious customers include GBG, Alloy and Socure.
Fast-tracking means letting a customer move through quickly. When the evidence backs up who they say they are and their behavior stays inside your risk limits, they check out or open an account with no added friction.
As for stepping up verification, this happens if something is missing, doesn’t line up, or just looks a little off – in that case, you ask for more proof before deciding, like a document and biometric check or a one-time code.
Escalating is typically for cases where the risk signals are too strong to ignore, so the customer or transaction goes to a person for manual review.
Routing shoppers through tailored verification paths helps legitimate transactions proceed without delay while potential threats receive review. Here's what this can look like in practice:
A first-time customer creates an account and provides identity details that match trusted data sources. System checks detect no concerning digital or behavioral signals.
In this situation, the verification system runs identity data checks. When the available information satisfies your compliance requirements, the system allows the customer to continue without requesting physical documents or a selfie. Stronger verification measures remain reserved for later if the customer undertakes a high-risk action or if new risk signals emerge.
Outcome: Fast-track the customer.
A customer has recently moved and provides their new address, but the primary verification source still holds their previous address and can't establish a reliable match.
An inconclusive result doesn't automatically mean the customer is fraudulent. The system queries another appropriate identity data source or requests secondary evidence.
Depending on circumstances, this can mean confirming additional details or asking the customer to complete a quick document verification step. If the secondary check resolves the uncertainty, the system allows the customer to proceed.
Outcome: Step-up verification rather than immediately rejecting the customer.
Several accounts are created within a short period using overlapping contact details, changing identity information, or other suspicious signals.
The verification system assesses connections between submissions and checks whether the behavior matches known fraud patterns. It applies stronger verification or places the relevant activity on hold for investigation according to your risk policies. Cases that can't be resolved automatically get routed to an analyst alongside the available identity and fraud evidence.
Outcome: Escalate the case for closer scrutiny.
|
Solution |
How it supports orchestrated verification |
|
GBG |
GBG Go supports configurable verification workflows, multi-source identity checks, risk thresholds and escalation paths. |
|
Alloy |
Configurable identity verification and fraud prevention workflows combine identity data, risk signals and automated decisioning to route customers for approval, additional verification or manual review. |
|
Socure |
Identity and fraud risk intelligence informs automated decisions and determines when additional verification is appropriate. |
We'll introduce ourselves first and then cover two alternative providers worth considering.
GBG is a global identity verification and KYC and KYB provider that helps businesses connect safely with genuine customers.
To strike the right balance with shoppers, our platform lets you route customers down different paths based on their risk profile. You can:
With GBG Go, you can build customer workflows around what matters to your business: verification results, risk thresholds and the compliance rules in each region you operate in.
Multi-source identity verification means one inconclusive match doesn’t automatically send a good customer to manual review. Email and mobile intelligence add context in the background, so nobody gets asked for more than they need to provide.
Pre-built templates and configurable rules handle the routine checks, which then frees your analysts for the cases that need a human to take a look.
Workflows also adapt to each customer’s jurisdiction or risk score, so you’re not pushing everyone through the same rigid checks that cause drop-offs.

As Darren Neil, KYC Specialist at GBG, notes: "It's all about understanding who the customer is and then applying the right level of verification for that person."
When automated checks can’t settle a case, GBG Go can send it to manual review. Case management lets your team see the verification results and why the customer was flagged in the first place.
A good review zeroes in on the specific concern, whether that’s details that can’t be corroborated, information that contradicts itself or suspicious links between accounts. Other GBG tools can add even more evidence, such as:
Keep in mind that none of this treats a flagged customer as a fraudster by default. It’s there to help your team investigate.
GBG may not be the right fit for every business, in which case you might want to consider some alternatives:
The objective of an identity verification strategy isn't to approve every customer instantly or to investigate every minor anomaly. You need a repeatable process for resolving straightforward cases, gathering additional evidence when necessary and escalating truly suspicious activity.
GBG's identity verification and orchestration capabilities support this approach through GBG Go, with GBG Trust providing additional fraud intelligence.
To learn how to configure tailored verification workflows for your customers, request a demo with GBG today.
Risk-based verification applies the appropriate level of friction to each customer based on their risk profile. This approach lets genuine, low-risk shoppers complete onboarding quickly while reserving step-up checks and manual reviews for higher-risk cases.
When a primary data source returns an inconclusive result, a multi-source system automatically checks secondary databases. Resolving the identity behind the scenes prevents genuine customers from being forced to upload identity documents or selfies unnecessarily.
Step-up verification asks the customer for additional proof, like a document or selfie, when a risk signal calls for it, so the customer is the one who takes the next action.
Manual review is when your team looks at the case to make a decision, often using the evidence already collected. Step-up can feed a manual review, but a review doesn’t always require anything more from the customer.
*Disclaimer: Information relating to third-party products and companies referenced in this article is based on publicly available sources and official publications at the time of writing. While reasonable efforts have been made to ensure accuracy, product features, positioning and company information may change and GBG does not guarantee that all information remains current or complete. Nothing in this article constitutes an endorsement, recommendation or ranking of any third-party provider. Readers should consult each provider’s official website and conduct their own assessment before making any purchasing decisions. To request an update or correction, please contact press@gbg.com.*
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