By Haydar Emin Evren RIG Inc Intern Researcher

ID verification is required by a wide range of businesses and organizations, whether for signature verification or facial recognition. Detecting fraud is difficult, and in some situations, the repercussions of overlooking a case of fraud can be serious — financial, data breaches, or in high-security cases, even risks to life.

According to recent studies, financial identity theft affected 47 percent of Americans in 2020. Losses from identity theft cases totaled $502 billion in 2019 and raised 42 percent to $712 billion in 2020. The massive surge was fueled by the pandemic’s high rate of unemployment identity theft, as higher and longer unemployment benefits made the sector an attractive choice for fraudsters. In 2021, losses are expected to rise to $721 billion [1].

Identity verification is a great example of how AI is helping to reverse the tide in the digital identity war that is currently raging between fraudsters and all online businesses and customers. Using AI and biometrics to authenticate signatures and faces gives a more secure foundation for combating identity fraud. It also boosts consumer confidence in reliable ID verification and makes them feel safer about their personal information.

When AI is paired with bio authentication, it creates a verification solution that is largely impenetrable to fraudsters. AI can help with biometric verification in a variety of ways; some examples include fingerprints, faces, and irises which are all unique to each person, making them more difficult to imitate. When high-security concerns for ID verification are present, biometrics are at the top of the list.

Facial recognition systems can easily be fooled by an image or video of the owner. In many occasions where the system had been deceived it was caused by 2D facial recognition. This is where the value of AI comes into play. AI employs 3D biometric facial recognition technology and can recognize a person’s face and learns from a variety of images. AI can also detect whether or not a person is taking a picture of an image, taking a picture of the screen, or using a manipulated document with a fake picture. This is why, when combined with biometrics, AI provides an ideal solution for bio authentication.

Dynamic Trust™ offers a novel solution to managing all devices and understanding that their data is going to trusted systems and individuals. It works continuously to verify and ensure that all systems and devices within a heterogeneous multi-agent network are working together while simultaneously evaluating the trust levels of one. Using RIG’s Dynamic Trust™ in combination with AI-enhanced ID verification systems can result in a more efficient and secure system. Accurate identity verification can help prevent financial losses, data breaches, and security issues associated with identity fraud. It can also help optimize a person’s job by lowering the stress of capturing identity fraud; it would be more thorough and would produce a more reliable analysis, which increases the ID verification process’ overall accuracy. Moreover, according to a recent study, nearly half of all U.S. consumers abandoned an online account opening process in 2020 because they considered it was too complicated or untrustworthy [2]. Dynamic Trust™ in AI based ID verification systems also have the potential to lower these abandonment rates. By creating trust between consumers and the new online businesses, it would greatly help them to find their customers faster and safer.

 

 

 

References

[1]       U.S. Identity Theft: The Stark Reality, 2020,  https://aitegroup.com/report/us-identity-theft-stark-reality

[2]        AML/KYC Tracker, Sept. 2020, 12-13, https://www.pymnts.com/wp-content/uploads/2020/10/PYMNTS-2020-09-Trulioo-Tracker.pdf