The Fintech Times

FEBRUARY 14, 2025

Dan Yerushalmi , CEO of AU10TIX “FaaS has elevated cybercrime, enabling a whole cohort of the population to join in on global fraud by launching large-scale attacks involving up to over 8,000 incidents,” explained Dan Yerushalmi , CEO of AU10TIX.

Deepfake 78

Deepfake APACS Law Enforcement Fraud Detection 78

Neopay

JANUARY 22, 2025

According to a recent report by the National Crime Agency (NCA), GenAI represents one of the most substantial threats to the fraud landscape today. Fraudsters are exploiting GenAI tools such as large language models (LLMs), voice cloning, and deepfakes to carry out increasingly sophisticated scams that are harder to detect and prevent.

AI 59

AI Deepfake Phishing Audit 59

Neopay

FEBRUARY 27, 2025

The financial sector is facing an unprecedented surge in AI-driven fraud, with deepfake-related attacks increasing by a staggering 2,137% over the past three years. of all fraud attempts detected in the financial sector now involve AI-generated forgeries, with deepfakes leading the charge.

Deepfake 52

Deepfake Fraud Detection Account Takeovers Fraud Prevention 52

The Payments Association

OCTOBER 22, 2024

According to the Payment Systems Regulator (PSR) , the volume of APP fraud cases rose by 12% last year. This increase was driven by fraudsters leveraging sophisticated techniques, such as fraud networks, phishing scams and AI-generated deepfakes, to trick victims into authorising payments.

Rules 88

Rules Fraud Prevention Caps Deepfake 88

The Fintech Times

AUGUST 13, 2024

Fraudsters are leveraging artificial intelligence (AI) tools like voice cloning and deepfakes to create highly convincing fake audio or video messages to deceive victims into transferring money or revealing sensitive information. How do the Latin American AI and anti-fraud sectors compare to that of the rest of the world?

AI 59

AI Fraud Detection Fraud Prevention Deepfake 59

Seon

JUNE 27, 2024

These advancements have changed the way we approach cybersecurity and fraud detection. AI’s capabilities, like machine learning algorithms, are being trained to identify and exploit vulnerabilities, automate phishing attacks and bypass traditional security measures. Learn More Sources : 1.

Cybersecurity 52

Cybersecurity Fraud Detection Identity Theft Money Laundering 52

The Fintech Times

DECEMBER 21, 2023

First is an expected uptick in utilising AI for more complex processes, like data analysis and fraud detection. “With new technology, however, comes elevated risks, which will lead financial institutions to adapt their strategies to counter these issues such as new types of fraud, deepfakes and advanced phishing schemes.

Cross-Border Payments 115

Cross-Border Payments Cross-Border Online and Mobile Banking Payments 115