Intelligent Transaction Monitoring.

Transaction monitoring is the ongoing surveillance of customer transactions — payments, transfers, deposits, and withdrawals — to detect patterns indicative of money laundering, terrorist financing, fraud, or other financial crime. Regulated financial institutions are legally required to maintain a transaction monitoring programme under FATF Recommendation 10 and the national AML/CTF legislation that implements it.

A Suspicious Activity Report is a formal report filed with a financial intelligence unit — such as AUSTRAC in Australia, FinCEN in the US, or the NCA in the UK — when a financial institution suspects a transaction or customer behaviour involves proceeds of crime or terrorist financing. FraudShield generates SAR-ready alert dossiers with all required fields pre-populated, reducing the time from detection to filing.

Rule-based systems apply fixed thresholds and scenarios — for example, flagging any cash deposit over $10,000 or any transfer to a sanctioned jurisdiction. These are predictable and auditable but generate high false positive rates and miss novel patterns. ML-based monitoring learns from historical transaction data to identify statistical anomalies and evolving typologies, reducing false positives while catching sophisticated schemes that rules alone would miss. FraudShield combines both approaches.

An MLRO (Money Laundering Reporting Officer) is the designated individual within a regulated firm responsible for receiving internal suspicious activity reports and deciding whether to file an external SAR with the relevant financial intelligence unit. FraudShield's escalation workflow routes high-risk alerts directly to the MLRO queue with all supporting evidence attached, enabling faster decision-making and a clear audit trail.

FraudShield evaluates transactions in real time as they are processed. For transactions that breach risk thresholds or match suspicious typologies, alerts are generated immediately — typically within seconds of the transaction being received. This enables pre-clearance intervention where time-sensitive actions (such as holding a wire transfer) are possible, rather than relying solely on retrospective detection.

Fraud detection focuses on identifying individual transactions where a customer is being victimised or a criminal is using stolen credentials — the immediate harm is to the account holder or institution. AML transaction monitoring focuses on identifying customers who may themselves be the source of criminal proceeds, structuring payments to avoid reporting thresholds, or moving money on behalf of organised crime. Both are required in a comprehensive financial crime programme, and FraudShield is purpose-built for the AML use case.