Remove Account Takeovers Remove Fraud Prevention Remove Use Case
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Mangopay Launches New AI-driven Fraud Prevention Solution for Platforms

Fintech Finance

Mangopay , a modular and flexible payment infrastructure provider for platforms, today announces the launch of its new Fraud Prevention solution. Platforms can connect to the solution through the Mangopay product ecosystem, meaning they can easily protect themselves against fraud without any additional integration.

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Keeping Cybercrooks Out Of Digital-First Banking

PYMNTS

The latest Digital-First Banking Tracker® done in collaboration with NCR , notes that “FIs are devoting more money than ever to fraud prevention as more consumers go digital. For FIs that want to acquire new customers digitally, first and foremost they need to have an account opening/onboarding process that is quick and seamless.

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Cybersecurity Trends For 2024 With TransUnion, Forter, WatchGuard, Vouched, FIDO Alliance, Fusion

The Fintech Times

Rise in social engineering Doriel Abrahams, head of risk, Forter Doriel Abrahams , head of risk at payment optimisation and fraud prevention platform Forter, also expects social engineering will “take a giant leap forward” in 2024. Our expectation is that social engineering attacks will only increase further in 2024.”

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Helping APAC Merchants Manage The Risk And Reward Of Mobile Wallet Acceptance

PYMNTS

And in Asia especially, amid the battle of the super-apps, the goal is to drive as much activity through those apps and mobile wallets as possible, through QR payments in shops, lending, ride-hailing and food delivery (to name just a few use cases). Every recession leads to an increase in fraud ,” he said. People are desperate.

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Deep Dive: QSRs Leverage AI To Fight ATOs And Credential Stuffing

PYMNTS

AI systems can prevent these attacks and are inexpensive when compared to the cost of human fraud prevention teams. QSRs and third-party ordering apps process thousands of transactions every day, making it impossible for human analysts to examine each exchange for fraud. AI to the Rescue. AI in Action.

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Filtering Out the Fraudsters: Putting Device Intelligence to Work

Seon

By using thousands of real-time device signals, from geolocation and IP information to behavioral data such as battery life, phone orientation and font count, suspicious setups and settings across desktop and mobile devices can be flagged and blocked.

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Deep Dive: Unsupervised Machine Learning Steps Up To Fight Fraud

PYMNTS

The push for more intelligent anti-fraud solutions comes as the costs of such attacks are reaching new heights. Fraud losses hit $14.7 billion last year, according to the latest DataVisor Fraud Index Report. Account takeover (ATO) fraud proved to be particularly effective, causing $4 billion in losses.