ScamLens
은행 & 결제용

은행이 사기 결제 경로를 더 일찍 감지하도록 지원

Enrich stop-payment, dispute, merchant-review, and anti-fraud outreach workflows with fast context on suspicious websites, phone numbers, chats, and wallets.

영업팀 문의 API 문서 보기

빠른 답변

Quick answer: banks do not just need more rules. They need faster visibility into whether funds are moving into scam infrastructure. ScamLens is built to add that cross-object risk context.

Speed up stop-payment and dispute triage
Flag risky merchant websites and impersonation during onboarding
Give fraud teams clearer evidence chains and next-step actions

팀에서 ScamLens를 사용하는 방법

These are the three most common points where teams plug ScamLens into their existing operations for immediate impact.

1

When a customer reports fraud

Quickly check the websites, phone numbers, wallet addresses, and chat screenshots the customer mentions to assess the situation.

2

Reviewing merchants and payment pages

Verify payment pages, check for brand impersonation, and review domain history before onboarding or approving partnerships.

3

Flagging risky payments

Automatically connect suspicious payments to known scam infrastructure instead of relying on manual research alone.

이 분야의 팀이 ScamLens를 사용하는 이유

All evidence in one place

Combine phone, website, email, chat, and wallet evidence into a single fraud review instead of checking each separately.

Built for support and fraud teams

Works for front-line support staff doing quick checks and specialist teams doing deeper investigations.

Easy to share with partners

Export structured findings to share with law enforcement, legal counsel, or payment partners.

이를 통해 할 수 있는 일

Works for stop-payments, disputes, merchant onboarding, and anti-fraud outreach
Cuts repeated evidence gathering in support operations
Helps identify not only confirmed victims but users who are about to be scammed

다음 단계

Now that you have seen how it fits your workflow, book a demo or explore the API docs — we will tailor the setup to your needs.

자주 묻는 질문

Is this useful for first-line support teams?
Yes. Support teams can get a quick risk read first, then escalate complex cases to fraud specialists.
Is this only for crypto-related banking use cases?
No. It also fits APP scams, impersonation, fake support, investment fraud, and merchant-domain risk.
Are the outputs technical or operational?
Both. You get actionable verdicts for business users and enough source context for specialist review.

시작할 준비가 되셨나요?

Book a demo to see how ScamLens fits into your existing operations, or request API access to start a technical evaluation.

데모 예약 API 접근 요청