Lending, Fraud and AI: Understand the evolving risks to beat identity theft
AI is increasingly being used by cybercriminals to fraudulently access loans and other credit products from banks and fintechs. This means it’s critical to apply strategies, processes and tools that can detect deepfakes and other fake identities – and verify real users quickly. This White Paper explores how to protect your institution.
“Deloitte predicts that by 2027, U.S. banks will reach around US$40 billion in losses due to fraud powered by generative AI.”
Protect your bank's reputation and reduce the risks of AI-driven lending fraud
Read this special report to make your lending process more secure, in the rapidly changing world of AI-driven credit fraud.
Innovation in lending is driving new risk management requirements
Understand the new strategies that fraudsters are using to access new credit products such as microloans - and what you can do to stop them.
A survey of U.S. bank users concluded that users are losing their trust in banks, with 13% of them saying they are likely to switch institutions in the next 12 months.
Experts featured in this report
This special report features insightss from executives at Bicecorp; Dominican Fintech Association, Colombia Fintech, Experian, Access Finance, VOPM and Jumio.
Lucas Patanó
Innovation Manager
Bicecorp
Catherine Espaillat
Executive Director
Adofintech
Gabriel Santos
President
Colombia Fintech
Víctor Nieto
Decision analysis product manager
Experian
Samer Atassi
Vice President for Latin America and the Caribbean
Jumio
Ana Enciso
Commercial Director
Access Finance
Pablo Marin
CIO
Grupo VOPM
Use this report to learn how to….
Improve your security
Discover strategies to counter AI-driven fraude in lending
Protect your institution's reputation
Give your customers confidence when they apply for loans from your institution.
Develop new credit products
Keep ahead of the latest innovations in lending – securely.
Download the report “Combating Identity Fraud in Credit in Latin America”.
Learn how to beat fraud and identity theft in loan applications
Content by chapters:
Chapter 1: Current Status of Identity Theft
This chapter contains key information on:
1.1 Trends in Digital Fraud
1.1.1 Identity theft in credit products
1.1.1.1 A closer look at microcredits
1.1.2 New tactics used by fraudsters
- Deepfake
- Synthetic Identities
1.2 Impact of Identity Theft on Lenders
1.2.1 How does fraud affect the reputation of lenders?
Chapter 2: Preventing identity theft in lending
This chapter contains key information on:
2.1 AI in Identity Fraud Prevention
Considering:
- Document Authentication
- Photography and Video
- Proof of life
- Real-Time Corrections & Credits
2.2 360° approach: Predictive analytics, ecosystem collaboration and data prevention
- Predictive Analytics
- Collaborative data to protect the ecosystem
2.3 What must an identity verification technology partner comply with?
Chapter 3: The Must-haves of a Biometrics Tool
Emerging Technologies and Their Potential: Blockchain
Defeat identity theft with AI in credits!
Get ahead of lending fraud
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