Wednesday, 30 October 2024

Jumio's Cutting-edge Liveness Detection Guarantees Users Are Real, Not A Spoof





KUALA LUMPUR, Oct 29 (Bernama) -- Jumio, an automated, artificial intelligence (AI)-driven identity verification, risk signals and compliance solutions provider, has unveiled Jumio Liveness, an enhanced, in-house technology designed to address increasingly sophisticated fraud tactics at Money20/20 USA.

This cutting-edge solution expands beyond traditional presentation attacks, such as paper or screen copies, and employs sophisticated AI models to block advanced threats like injection attacks and deepfakes.

Its Chief Product and Technology Officer, Bala Kumar said Jumio Liveness is designed to address the growing sophistication of fraud tactics while keeping the user experience simple.

“Our goal is to help businesses stay ahead of threats like deepfakes and ensure that legitimate users can securely access services without added complexity,” he said in a statement.

Jumio Liveness takes fraud detection to the next level by checking if more than one person is present throughout the selfie-capture process or if someone is being forced to undergo the identity verification process.

It also prevents the registration of unconscious individuals, such as those who are sleeping. These measures help ensure that only genuine, consenting users are able to access services, dramatically reducing fraud risks.

Jumio has established a comprehensive multi-layer defense strategy to tackle a wide range of attack types, both current and emerging. By combining liveness detection, AI-driven fraud detection, and anti-spoofing technologies, its system is designed to defend against existing threats while staying agile enough to address future attacks.

This robust strategy is backed by an expansive patent portfolio spanning nearly 100 unique patent families and ensures that businesses using the company’s services remain protected in an ever-evolving fraud landscape.

In addition, Jumio has mechanisms in place to constantly monitor for anomalies and suspicious activities. These systems continuously review daily traffic to identify new attack vectors as they emerge.

Any new insights are fed directly into the AI model’s training pipeline, creating a real-time feedback loop that enables Jumio’s technology to adapt rapidly, ensuring that its defense mechanisms remain updated and highly effective against evolving and sophisticated threats.

-- BERNAMA

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