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Fraud Concerns and Trends in 2022

Abrigo

Fraud on Alert for 2022 A review of SAR data , government agenc y releases, a nd fraud findings found these f raud c oncerns and trends to wat ch in 2022. Takeaway 1 An Abrigo review of SAR data, government agency releases, and fraud findings revealed fraud trends to watch for. Fraud Concerns. Starting Point.

Trends 195
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CECL implementation: Survey shows where peers are as 2023 nears

Abrigo

Financial institutions work to meet Q1 2023 CECL deadline A CECL implementation survey by Abrigo found progress by financial instittuions is mixed ahead of the upcoming deadline. . Takeaway 1 10% of banks and credit unions have completed CECL adoption, according to Abrigo's CECL implementation survey. Progress on CECL.

Survey 195
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Bringing AI To The Fight Against Healthcare Payments Fraud

PYMNTS

This brings a longstanding challenge to the fore: Healthcare organizations have long struggled with fraud, waste and abuse (FWA), costing the United States healthcare sector more than $200 billion annually by some estimates. Yet, these advanced computational systems have a long way to go in healthcare administration.

Fraud 362
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Geolocation Puts A Pin In Anti-Fraud Solutions

PYMNTS

With digital transactions and eCommerce soaring during the pandemic, the rate of increasingly sophisticated fraud has also risen. Unlike the crypto markets, Wingert said the banking and payments industries continue to be slow to adapt to the challenges of KYC and fraud prevention. In fact, a recent GeoGuard survey found that U.S.

Fraud 270
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CFOs Failing Their Boards In Fraud, Risk Management

PYMNTS

But new research from treasury management firm Kyriba suggests treasurers and CFOs are falling short in delivering on some of the top priorities of the corporate board. More than a third (36 percent) of survey respondents said fraud monitoring and risk mitigation are the areas in which CFOs are most falling short.

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Top Fraud Issues for Telecommunications: Survey Results

FICO

The Communications Fraud Control Association (CFCA) recently released the findings from its Global Telecom Fraud Survey. Fraud teams operate with lean structures. The majority are still using primarily rules-based fraud management systems, with just 6% using AI and machine learning. of respondents.

Survey 52
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Why AI Is MIA In Most FI Fraud Departments

PYMNTS

In the old days, forged checks were the biggest problems that bank fraud departments had to manage. Today, financial institutions (FIs) face a barrage of cyberattacks from hackers operating around the world, continuously shifting their tactics. Yet, few FIs leverage this technology in their anti-fraud efforts — only 5.5

Fraud 195