Integrated AML & Fraud Monitoring
Connect AML operations and fraud controls through a unified architecture.
The Complete FRAML System brings together screening, transaction monitoring, entity intelligence and fraud monitoring within a unified financial crime architecture designed for modern institutions
Four integrated capabilities designed to support screening, monitoring, investigations, and fraud prevention across the financial crime lifecycle
Name screening via quick scan to identify customer and third party risks
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Monitor customer transactions and payment screening risk.
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AI-native fraud monitoring for modern financial institutions
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Connect AML operations and fraud controls through a unified architecture.
Combine customer, transaction, entity, and fraud signals.
Identify suspicious activity through adaptive intelligence.
Improve investigations with shared context and integrated workflows.
Deploy modules independently or as a connected ecosystem.
Support explainable decisioning and continuous optimization.
Designed for banks, fintechs, insurers, payment firms, and regulated sectors.

Risk Use Cases

Professionals

Billion Risk Scans

Deployments

Global Jurisdictions

Billion News Content

Watchlists

Languages
EXPERT INSIGHTS
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Integrated AML and fraud monitoring, answered
The Complete FRAML System is ZIGRAM's integrated financial crime architecture that runs AML screening, transaction monitoring, entity intelligence and fraud monitoring on one connected platform. It brings PreScreening.io, Transact Comply, Entity Hero and Fraud Fighter together so fraud and AML teams work from shared risk signals instead of isolated tools.
Four applications work together: PreScreening.io for name screening, watchlists and sanctions; Transact Comply for transaction monitoring, scenarios and thresholds; Entity Hero for customer risk rating, categorization and entity records; and Fraud Fighter for fraud monitoring, behavioral analytics and risk decisioning.
Fraud and money laundering increasingly move through the same accounts, devices and payment flows. A FRAML approach lets institutions correlate those signals, remove duplicated alerts and investigations, and respond faster through one architecture rather than maintaining separate fraud and AML stacks.
Fraud Fighter adds AI native fraud monitoring to the AML stack. It scores activity in real time for pass, review or block decisions, detects mule networks and behavioral anomalies, and feeds findings back into shared entity and case management so fraud and AML outcomes stay aligned.
It connects screening, monitoring, entity intelligence and fraud detection through shared data and unified case management. Investigators work from one view of customer, transaction, entity and fraud risk, which shortens resolution time and keeps decisioning consistent across functions.
Yes. Each capability can run on its own or as a connected FRAML ecosystem, so institutions can start with screening, monitoring, entity intelligence or fraud monitoring and expand as needs grow, without re-platforming.
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Discover how The Complete FRAML System can help unify screening, monitoring, investigations, and fraud prevention within a connected financial crime architecture
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