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Cyber Threats Surge in India’s Financial Sector

Fintech News

The surge of deepfakes The rise of AI has also led to a surge in deepfake attacks. These advanced impersonations, which use convincing AI-generated audio and video, trick users into revealing multi-factor authentication (MFA) codes or approving unauthorized authentication requests. billion) in 2024 alone.

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Accredify Becomes Okta Ventures’ First Investment in Singapore

Fintech News

This collaboration will see Accredify integrating Okta’s advanced identity management solutions, including Single Sign-On (SSO) and Multi-Factor Authentication (MFA), to benefit its clientele.

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The PSR’s new fraud refund rules: A step forward, but is it enough?

The Payments Association

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. While fraudsters use it to create deepfakes and manipulate unsuspecting victims, financial institutions can also harness AI to combat these threats.

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UK Relies on Quickly Ageing Authentication Tech: Firms Must Adopt New Systems Reveals Ping Identity

The Fintech Times

The urgency to manage AI-related identity risks, including deepfakes , is low in the UK with around one third (35 per cent) already having a strategy in place to manage threats of this nature. Only 45 per cent of global organisations have implemented multi-factor authentication (MFA). respondents saying the same.

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SNEAK PEEK: Unveiled: 2024 Key Financial Crime 360 findings

The Payments Association

The existing technical mechanisms, like MFA and biometrics, will not be able to prevent this type of fraud. AI-driven fraud is on the rise, with identity deepfakes identified by 56.29% as a significant threat and automated personal data collection highlighted by 32.45% of respondents.

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Security Awareness Training: What It Is, Its Importance & How to Implement It

Seon

Password management : Using multi-factor authentication (MFA) and password managers. Future security measures, such as generative AI and deepfake detection – particularly given that biometric authentication will become increasingly challenged by AI-focused fraudsters in the years to come.

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Navigating the rise of AI-enabled fraud

The Payments Association

Understanding AI-enabled fraud As fraudsters invest in more sophisticated technology, including deepfakes, synthetic identities and automated phishing, the need for payments firms to adopt better AI-driven fraud detection systems grows. fingerprints, facial recognition), and behavioural biometrics (e.g.,

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