Contact us
Merchant risk intelligence

Expose complex threats hidden across merchants, websites, and networks

Move beyond isolated signals, understand the connections behind the risk, and investigate with clear evidence.
Talk to an expert

BEYOND SURFACE-LEVEL RISK

Reveal risk across merchants, networks, and connected entities

Connections

Map coordinated scam activity

Scam activity can involve multiple merchants, websites, entities, and digital channels. Identify connected scam infrastructure, maps relationships.

With Scam Network Intelligence
Complex risk

Detect hidden payment activity

Violative transactions may be getting processed through a registered merchant account. Identify indicators of hidden processing relationships and surface evidence for deeper investigation.

With Transaction Laundering Detection
Detect hidden risk

Expose deceptive storefronts

Legitimate-looking websites may be concealing prohibited activity. Identify signals of front-site misrepresentation.

With Front Site Detection

Ready to uncover hidden risk across your merchant ecosystem?

Identify relationships, analyze complex patterns, and act with confidence

Talk to an expert

FAQs

How do you detect transaction laundering?

Laundering hides behind merchants that look legitimate: 85% of transaction laundering leads come from merchants that appear low risk. Transaction Laundering Detection combines known violator intelligence, historical merchant connections, and test transactions to trace payments from violating websites to the merchant accounts processing them. It’s backed by more than 20 years of merchant and transaction laundering intelligence.

How does Scam Network Intelligence work?

It starts with one lead: a known website, merchant, wallet, account, complaint, or transaction. Using investigative research, controlled interactions, test transactions, and graph analysis, we map where victims enter, how the operation is connected, and where the money moves. You receive a scam playbook, a network map, validated entity evidence, a structured data package, and expert guidance.

Can you catch merchants that pass standard onboarding checks?

That’s what Front Site Detection is built for. Polished content, a working checkout, and completed KYB checks don’t always reveal what’s behind a website. Front Site Detection uses expert-designed signal frameworks and AI to answer three questions. Do the website content and stated business tell a consistent story? Does the domain look like a real operating business or a disposable front? Do search results, reviews, and third-party references support the merchant’s claims?

How do you keep findings accurate?

Every solution combines technology with expert-designed analysis or expert validation. Analysts validate transaction laundering connections to filter out unrelated or low-confidence matches. Investigators validate scam network relationships to separate meaningful connections from incidental overlap. Front Site Detection surfaces high-confidence, explainable findings, so your team reviews the right merchants.

What can we do with the findings?

You can act on evidence, not suspicion. Transaction laundering cases include authorization results, transaction evidence, screenshots, severity, and analyst findings. That gives you a defensible basis to investigate, escalate, restrict, terminate, or keep monitoring a merchant. Scam Network Intelligence supports blocking, escalation, and coordinated disruption, and front-site findings come with evidence for review or escalation.