ساعد البنوك في اكتشاف مسارات الدفع الاحتيالية مبكراً
Enrich stop-payment, dispute, merchant-review, and anti-fraud outreach workflows with fast context on suspicious websites, phone numbers, chats, and wallets.
إجابة سريعة
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.
كيف تستخدم الفرق ScamLens
These are the three most common points where teams plug ScamLens into their existing operations for immediate impact.
When a customer reports fraud
Quickly check the websites, phone numbers, wallet addresses, and chat screenshots the customer mentions to assess the situation.
Reviewing merchants and payment pages
Verify payment pages, check for brand impersonation, and review domain history before onboarding or approving partnerships.
Flagging risky payments
Automatically connect suspicious payments to known scam infrastructure instead of relying on manual research alone.
لماذا تستخدم الفرق في هذا القطاع ScamLens
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.
ما الذي يساعدك على فعله
الخطوة التالية
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.
الأسئلة الشائعة
Is this useful for first-line support teams?
Is this only for crypto-related banking use cases?
Are the outputs technical or operational?
هل أنت مستعد للبدء؟
Book a demo to see how ScamLens fits into your existing operations, or request API access to start a technical evaluation.