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Singapore’s Protection from Scams Act: What It Changes
Is giving police the power to seize and restrict bank accounts a necessary evil or a symptom that banks are still...
Predict Scams
A natively integrated suite that protects against New Account Fraud (NAF), Online Fraud (OFD) threats and Fraudulent transactions (TM) in addition to Scam Prediction and Mule Classification.
Next-Gen defenses to prevent classic cases of unauthorized digital fraud.
Block abusive behavior at account creation before it becomes a threat.
Protect transfers and payments against unauthorized and authorized fraud.
Comply with Regulations
New and emerging banking regulations, such as PS23/4 and PSD3, are reshaping financial institutions’ reporting obligations and transforming how they engage with customers and other banks.
Current Banking Regulations
PSD2 enforces Strong Customer Authentication and secure communications.
Instant Payments Regulation (IPR) requires 24/7 availability of instant transfers.
Mandatory Scams Reimbursement
PS23/4, PSD3 and emerging regulations require banks to reimburse victims of APP and unauthorized fraud by sharing the cost between the sending and receiving bank.
Money Mule Monitoring
Fraud and AML regulatory bodies worldwide (PSR, EBA, FINCEN, AMLA) are putting financial liability pressures that encourage identification, reporting, and monitoring of money mules.
Five new types of insights that enhance decision-making:
NAF Signals detect early signs of complicit money mule creation, brand promotion abuse, and synthetic or stolen identity use.
Pre-Fraud Signal Intelligence proactively detects hidden traces left by fraudsters during the preparation phase (before any fraud is committed), enabling early intervention.
Digital Fraud Signals detect potential fraud committed during online sessions to combat risks like account takeovers.
The Session Score delivers a precise, context-rich risk assessment by combining demographic, pre-fraud, and account origin–destination classification signals.
The Transaction Score prevents fraudsters and scammers from bypassing MFA.
