Remove Fraud Detection Remove Process 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

It highlights new corporate responsibilities, significant penalties for non-compliance, and the businesses need to implement strong fraud prevention measures to protect their financial and reputational standing. Compliance requires proactive fraud risk assessment, the implementation of preventive procedures, and a culture of accountability.

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AI Becomes the Banker: 21 Case Studies Transforming Digital Banking CX

Finextra

This broad applicability in banking (from automating fraud reviews to generating customer communications) underscores how financial firms are integrating GenAI into their core workflows more aggressively than most. Indeed, 64% of finance leaders report using AI for fraud detection and risk management in their institutions.

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Navigating AML obligations in the age of virtual IBANs

The Payments Association

AI can enhance transaction monitoring, while stronger KYC processes and staff training will help manage risks and maintain compliance. Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence.

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Feedzai Launches ScamAlert, New GenAI Agent to Detect and Prevent Scams

Fintech Review

This approach not only empowers users with rapid, accurate risk assessments but also feeds critical intelligence into banks fraud prevention systems, ensuring proactive defense measures are always one step ahead. By delivering rapid, accurate assessments, ScamAlert empowers consumers while enhancing banks risk management.

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Can Agentic AI in Fintech Transform Financial Services Through Autonomous Intelligence?

Fintech News

Instead of simply providing insights or suggestions, it autonomously acts on behalf of the user, processing data in real-time and adapting to ever-changing financial conditions. In fintech, this means AI systems that dynamically manage credit risk, automate trading decisions, and even preemptively block fraud, all without human intervention.

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Avoiding AI Pitfalls in Financial Decision-Making

The Fintech Times

There is a huge price to be paid by organisations when AI and machine learning (ML) fail in the financial decision-making process. While AI can process vast amounts of financial data and identify patterns that humans might miss, treating it as infallible is dangerous. This creates a false sense of security.

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

The Payments Association

These outdated platforms lock institutions into lengthy development cycles, while competitors are already processing real-time agent transactions. Today, many issuers still auto-approve token requests with minimal risk assessment, a vestige of Visa and Mastercard’s early, binary risk logic.