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Using facial recognition to validate identity

Using facial recognition to validate identity

According to research by ACI Worldwide1 in July 2020, eCommerce transactions around the globe rose 19% compared to the same period in 2019. Their research indicates that the value of fraudulent transactions also increased from 3.7% to 4.4%.

With consumers currently reluctant to engage in physical retail shopping, and in many cases prohibited from doing so, eCommerce is expected to continue to grow exponentially, even in a post Covid-19 world.

Criminals are becoming more sophisticated in their methods which means organizations are needing to become increasingly cautious in verifying identity, while continuing to provide the customer with a streamlined and simple buying experience.

Facial recognition systems, also described as Biometric Artificial Intelligence, identify individuals by analyzing patterns based on the persons facial features and textures.

By comparing live selfie photos and/or videos with government issued ID records, it is possible to establish and verify the identity of an individual in real time.

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Press Release
AML and identity checks: Lessons learned from the NatWest case

NatWest’s landmark money-laundering case has dealt a huge blow to consumer trust in online banking; an industry that more than three quarters (76%) of UK consumers already admit they don’t fully trust, according to research from anti-money laundering specialists, SmartSearch.

The ongoing lawsuit being faced by the high street bank has put others on high alert to the threats and scale of money laundering in the UK, but experts warn this case is the tip of the iceberg when it comes to financial crime in the UK.

So, what can businesses learn from NatWest to avoid the same costly pitfalls?

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