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SNEAK PEAK: Unveiled: 2024 Key Financial Crime 360 findings

The Payments Association

Key findings reveal that fraud remains the foremost concern, with identity fraud being the most common type encountered. The survey also highlights the growing investment in technologies such as AI and machine learning for fraud prevention, as well as the importance of industry collaboration and regulatory updates.

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Runa Introduces Runa Assure: Proactive Security for Payout Protection

Fintech Finance

Key security features include: Advanced Machine Learning Fraud Detection: Prevent unauthorized access with IP Allowlisting & Multi-Factor Authentication (MFA), and monitor suspicious activity with user behavior analytics.

PCI DSS 86
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UnionDigital Bank to offer passive MFA through the Callsign platform

The Paypers

Fraud prevention company Callsign has announced that UnionDigital Bank has chosen their platform to offer customers passive multi-factor authentication (MFA).

MFA 36
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Deep Dive: Reducing The Security Risks Of Open Banking

PYMNTS

Multi-factor authentication (MFA) is a much more effective way to secure these entry points by requiring not only a password, but also an additional verification method, such as a code sent to a user’s phone or a biometric system, like a fingerprint reader or facial recognition scanner. percent of fraud attempts, according to one study.

MFA 96
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The PSR’s new fraud refund rules: A step forward, but is it enough?

The Payments Association

, argue that the lower cap may reduce the financial industry’s incentive to prevent fraud. Furthermore, the reduced compensation could result in banks taking a more lax approach to fraud prevention and leaving victims in the lurch, assuming they will be covered. AI is a double-edged sword in fraud prevention.

Rules 88
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Investec: What FIs Must Know About Open Banking And Gaining Consumer Trust

PYMNTS

Banks are leveraging multi-factor authentication (MFA) and machine learning (ML) to protect these systems, but customers fear this may not be enough. This month’s Deep Dive explores the financial crime threats that open banking systems face in their deployment, and how MFA and ML systems are being leveraged to protect them.

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A Complete Guide to Securely Process Credit Cards in Sage 100

EBizCharge

Tokenization and encryption: Tokenization replaces credit card details with unique tokens with no exploitable value, preventing hackers from accessing sensitive data. Encryption secures payment data by converting it to unreadable code during transmission, ensuring that data remains protected even if interpreted.