Remove Fraud Detection Remove On-Demand Remove Risk Assessment
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Economic Crime and Corporate Transparency Act examined: A guide to avoiding failure-to-prevent fraud measures

The Payments Association

Businesses must proactively assess fraud risks, implement adequate procedures, leverage technology for fraud detection, and foster a culture of compliance to avoid regulatory penalties. Compliance requires proactive fraud risk assessment, the implementation of preventive procedures, and a culture of accountability.

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Cloud-first infrastructure is the key to agent-based commerce

The Payments Association

Keeping pace with agentic demands Financial infrastructure built for the self-hosted era cannot meet the demands of autonomous agents. Today, many issuers still auto-approve token requests with minimal risk assessment, a vestige of Visa and Mastercard’s early, binary risk logic.

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Navigating AML obligations in the age of virtual IBANs

The Payments Association

While vIBANs offer innovation in payment systems, they introduce risks like money laundering due to insufficient oversight. Currently, large enterprises are the primary users, while small businesses and consumers have shown limited adoptionlikely due to unclear policies on customer eligibility and risk exposure. Why is it important?

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Navigating the AI Paradox in Banking: Strategies for Value Realization and Futureproofing

Finextra

Principal Consultant Oracle Location Edison Followers 2 Opinions 8 Follow Unfollow The global banking sector has made substantial investments in Artificial Intelligence (AI), driven by the promise of enhanced operational efficiencies, sophisticated fraud detection capabilities, and hyper-personalized customer experiences.

AI
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The platform risk paradox: Managing digital commerce fraud at scale

The Payments Association

Consequently, the cost of fraud prevention now reaches $4.61 for every $1 of actual fraud incurred, intensifying the trade-off between safeguarding the platform and maintaining scale. Without collective visibility, we risk fragmented defences. Static, manual-heavy models are no longer viable.

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Quantum Banking and Accounting: How AI and Quantum Tech Can Eliminate Fraud Before It Happens

Finextra

In accounting, fraud can be hidden in complex financial statements, buried in thousands of ledger entries, or spread across multiple subsidiaries. Even advanced fraud detection systems often work after the crime has happened. For banking, quantum algorithms can: Predict potential fraud before a transaction is finalised.

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Payabli raises $28M Series B

Finextra

In parallel, Payabli is working with Nvidia to develop advanced risk and fraud detection models trained on proprietary customer data to deliver tailored risk assessments specific to each customer’s business and industry.