Score payment risk before approval

Assess payment risk before a transaction, payout or payment setup moves forward. Combine available payment, identity, contact and network signals to allow, step up, review or block.

ScreenlyyID payment fraud dashboard showing approved payments, payment step-ups, review cases, blocked payments, payment risk trends and a current STEP_UP risk decision

The Problem

A valid payment can still carry risk

Payment data alone does not always show the full risk. BIN and IP mismatches, suspicious network activity, weak contact data and inconsistent identity signals can all point to a higher-risk event.

What ScreenlyyID Does

Turn payment signals into a risk decision

Bring payment, identity, contact and network signals together in one decision. ScreenlyyID returns a risk score, key reasons and the next action to allow, step up, review or block.

Payment risk decision flow showing payment, identity, contact and network signals entering the ScreenlyyID decision layer, then returning a risk score and next action to allow, step up, review or block.

How it Works

Make the right payment decision

Send the payment event and available context to ScreenlyyID. The Decision API evaluates the risk and returns the recommended next action.

01

Send the event

Submit the payment, payout or funding event.

02

Add context

Include available BIN, IP, contact, identity and device signals.

03

Score the risk

Evaluate the event and identify the key risk factors.

04

Return the decision

Receive an allow, step-up, review or block outcome.

Decision Outcomes

Turn payment risk into clear action

A risk score should tell you what to do next. ScreenlyyID returns a clear outcome your product or operations team can act on immediately

Continue lower-risk payment events.

Request additional verification or assurance.

Send uncertain or higher-risk events for review.

Stop or hold high-risk changes according to policy.

Decision-First Protection

One decision layer across fraud, identity, and compliance

Show us your onboarding, login, payment or compliance journey and we’ll show where ScreenlyyID can reduce unnecessary verification, trigger stronger checks and improve risk decisions.

Flexible Deployment

Add decisioning without replacing your stack

Use ScreenlyyID as your full fraud and verification stack, or alongside the tools you already use. Send each event to the Decision API and use the returned decision to continue, step up, review or hold the action.

Diagram showing onboarding, login and payment workflows feeding into the ScreenlyyID Decision Layer, which works with ScreenlyyID checks or existing identity, fraud and compliance providers before returning decisions to product, review or compliance workflows.

For Fraud Teams

Understand why a payment is risky

See the key factors behind every payment risk decision, from BIN and IP mismatches to network, contact and identity signals. Give fraud and operations teams the context to review faster, make consistent decisions and act with confidence.

Diagram showing flagged users, triggered checks, reason codes and decision history feeding into the ScreenlyyID Risk Review Workspace, where analysts can review a risk score, investigate, request verification, escalate or resolve a case.

Platform Coverage

Unify every signal behind payment risk

Bring payment, identity, contact, device and network signals together in one decision. ScreenlyyID gives you a clearer view of the risk around each event, not just the payment data alone.

Diagram showing existing identity, KYC, AML, fraud, device and communication providers connected to the ScreenlyyID risk orchestration layer across onboarding, login, payments, account recovery and ongoing activity workflows.

Common Questions

Step-up verification questions

Common questions about  step up verification. See how ScreenlyyID helps teams trigger stronger checks only when risk requires it.

Payment fraud detection and risk scoring assesses the risk around a payment event using available payment, identity, contact, device and network signals. The result can help determine whether to allow, step up, review or block the action.

Payment fraud detection analyses signals around a transaction or payment-related event to identify suspicious activity or inconsistencies. ScreenlyyID can combine available BIN, IP, identity, contact and network context into a risk score, key reasons and recommended action.

Common payment fraud signals include BIN and IP mismatches, suspicious network activity, weak contact data, identity inconsistencies and unusual event context. The strongest decisions typically use multiple signals rather than relying on one check alone

Risk-based decisioning can help businesses apply additional checks only when the available signals indicate higher risk. Lower-risk events can continue, while higher-risk events can be stepped up, reviewed or blocked according to policy.

Not necessarily. ScreenlyyID can be used as a broader fraud and verification platform or alongside existing payment gateways, fraud tools, identity providers and review processes through the Decision API.

Contact Us

See Risk Decisioning in Action

See how ScreenlyyID helps you evaluate risk, orchestrate decisions, and trigger verification only when needed.

Complete the form and we’ll walk you through how it fits into your existing stack and improves fraud prevention, conversion, and cost efficiency.

Contact Form

Start small. Scale fast.

See how risk decisioning fits into your flow

Walk us through your onboarding, login, payment, or compliance journey and we’ll show where decisioning can help you approve trusted users faster, trigger the right checks, and stop high-risk activity earlier.