Organisations getting better at spotting identity fraud
Date of creation: March 31, 2024, 12:44 p.m. From SITE: https://www.computerweekly.com Original page link
Original page content The barriers to committing identity fraud are tumbling down, but organisations are proving that thanks to adoption of more advanced monitoring tools and software, assistance from artificial intelligence (AI) and automation, and improved links with external and third-party databases, they are more than capable of addressing the problem. This is according to a newly published report on identity fraud produced by sector specialist Yoti, which is intended to be the first in an ongoing annual series. In the report, Yoti explored how fraudsters continue to explore different tactics in search of a pay-off, including the use of deepfakes and tampered with documents, and how the quality of such documents, particularly fake national IDs and driving licences that can now be generated by AI, have become incredibly sophisticated and convincing, as well as cheap – they can be procured in some instances for about £12. “We are pleased to publish the first edition of our identity fraud report, which explores the fraud trends we’ve seen over the past 24 months. We delve into why we believe a layered approach to fraud detection provides the best results – using a combination of technology and a team of verification experts to keep businesses and people safe,” wrote the report’s authors, Yoti global operations manager and fraud expert Mick Larkin, and fraud team lead Mykola Voloshyn. “As an identity provider, we have a unique insight into the techniques fraudsters are using. We can see where they are focusing their efforts and how these are changing over time. We continue to develop our tools to ensure we stay at the forefront of detecting and preventing fraud.” Is fraud increasing? It’s hard to tell Organisations may be improving their ability to detect fraud and thus, higher volumes are being detected and notified, but in reality, this does not mean that fraud is necessarily going up or down, and it is a challenge to understand the true scale of what is going on. Nevertheless, because low-level fraud is more easily accessible to more people now, it is likely that volumes are increasing as fraudsters take advantage of the low hanging fruit. And as noted, advances in technology are definitely making it easier to produce convincing fake documents – although some jurisdictions are more at risk of this than others – according to Yoti’s data, the most fraudulent drivers’ licences seen in the past two years come from Sri Lanka, Thailand, Portugal, Lithuania and Nigeria, whereas more fraudulent national IDs appear to originate from Cyprus, Poland, Indonesia and Slovenia. Optimal approach There are a number of approaches to detecting identity fraud that together add up to a coherent, optimal strategy to ensure an organisation’s service users are who they claim to be. The first step is to conduct standard document authenticity checks, ensuring that the material presented is indeed a government-issued ID, that it is valid, in date, has not been fiddled with or faked, and is not previously been reported as lost or stolen. The ability to detect fraudulent documents at this stage is important as it can help weed out the more crude attempts and prevent more fraud further down the chain. Face matching is becoming more important, and Yoti uses a proprietary liveness technology, called MyFace, to verify that photos presented are of a real person and not a fake being used in what is known as a presentation attack. These attacks take several forms, some more advanced than others, and can include the use of paper images, masks, video imagery, or deepfakes. Face matching is distinct from facial recognition in that at no stage does the technology recognise the identity of the person or check against other databases, it merely serves to stop presentation attacks. This can be done from a single selfie with no additional action required from the user. Yoti said that customers using MyFace have found that their users do not in general object to the process. Fraudsters are, of course, attempting to bypass such systems all the time, so additional measures may also be needed. Yoti’s technology includes a second proprietary solution, Secure Image Capture or SICAP, designed to detect more sophisticated injection attacks using manipulated images or AI-generated content. The use of live human verification experts, include people skilled in face matching, known as super recognisers – a documented phenomena – to step in where potential users have failed automated tests for some reason, is also recommended. Yoti itself maintains a team of such individuals trained in these skills, including the ability to spot morphed images, where photos of two individuals have been blended into a third. Businesses may also wish to consider adopting some form of digital ID support. Such forms of ID have several benefits and real-world testing has found them to be highly effective in some cases. Among other things, they can cut down on the amount of personal data that a user needs to share – for example to pass an age check a digital ID can verify for the organisation that the user is over the required age so that they don’t need to share their entire date of birth. Their use also means that people – particularly younger-looking people who may be more frequently challenged – do not need to carry around their driver’s licence or passport and risk having them stolen. “Businesses have to deal with and be prepared for different types of fraud. Fraudsters are constantly evolving and using different tactics and approaches, including deepfakes, fake documents, impersonation attempts and account takeovers,” the report’s authors said. “As fraudsters continue to innovate and evolve, we continue to develop our tools to ensure we stay at the forefront of detecting and preventing fraud. With a combination of leading AI technology and a highly skilled team of verification and fraud experts, we can help businesses and people to stay safe in an increasingly digital world.” Read more about fraud A different approach to managing personal data across the web is possible, and it could minimise online fraud, boost e-commerce, and help make the web more secure. So why isn't the government doing it? The UK’s major banks have told the prime minister to force tech firms to do more to prevent fraud that the banks end up paying for. Amid high volumes of spoofed, fraudulent banking websites, Which? is calling for the government to implement new legal obligations for domain registrars. | As the barriers to committing identity fraud continue to drop, organisations should consider more sophisticated technical measures to successfully up their game, according to a report
Date of avatar: March 31, 2024, 6:46 p.m.
Tags: deepfakes, artificial intelligence ai, automation, advanced monitoring tools, fake national ids, identity fraud, tampered documents, changing landscape, external databases, fraud detection, fraud prevention
Content: # Part 1: The Changing Landscape of Identity Fraud Organisations are facing increasingly sophisticated tactics employed by fraudsters in the realm of identity fraud. However, a new report by Yoti, a sector specialist, reveals that these organisations are effectively combating this problem through the adoption of advanced monitoring tools, artificial intelligence (AI) and automation, and improved connections with external and third-party databases. The report explores the rise of techniques such as deepfakes and tampered documents, and highlights the alarming level of sophistication and affordability of fake national IDs and driving licenses produced using AI. Yoti, as an identity provider, offers unique insights and continuously develops tools to stay at the forefront of fraud detection and prevention. # Part 2: The Challenge of Measuring Fraud Trends Determining whether fraud is increasing or decreasing is a complex task as organisations enhance their ability to detect fraud. While higher volumes of fraud cases may be detected and reported, it does not necessarily indicate a rise in fraud incidents. However, the accessibility of low-level fraud has increased, leading to a potential surge in volumes as fraudsters exploit easy targets. Technological advancements have also made it easier to produce convincing fake documents. Yoti's data reveals the countries with the highest instances of fraudulent driver's licenses and national IDs. Understanding the true scale of identity fraud remains a challenge, but organisations are committed to implementing a layered approach to fraud detection for optimal results. # Part 3: Building an Effective Strategy to Combat Identity Fraud Organisations can adopt several approaches to detect and prevent identity fraud, ultimately ensuring the authenticity of their service users. The first step is conducting standard document authenticity checks to verify government-issued IDs' validity, expiry date, integrity, and non-reported loss or theft. Face matching plays a crucial role, and Yoti employs its proprietary liveness technology, MyFace, to verify whether presented photos belong to real individuals or are manipulated images in presentation attacks. Additional measures, such as Yoti's Secure Image Capture (SICAP) solution and human verification experts, help detect sophisticated injection attacks and address cases where automated tests fail. Businesses may also consider incorporating digital ID support, reducing the need for users to share excessive personal data and eliminating the risk of physical documents being stolen. With a combination of AI technology and a skilled team of verification and fraud experts, organisations can stay ahead in the fight against evolving fraud tactics and ensure safety in an increasingly digital landscape.
Date of avatar: March 31, 2024, 12:57 p.m.
Tags: fraud detection, personal data, face matching, external databases, advanced monitoring tools, artificial intelligence ai, super recognisers, digital id support, live human verification, fake national ids, yoti, manipulated images, layered approach, fraud prevention, high-risk jurisdictions, technology advancements, myface, ai technology, convincing fake documents, tampered documents, verification experts, presentation attacks, liveness technology, third-party databases, automation, standard document authenticity checks, deepfakes, injection attacks, identity fraud, driving licenses
Content: Introducing Yoti's Identity Fraud Report: Breaking Down the Barriers to Fraud Detection Organisations are facing an increasing challenge when it comes to identity fraud. However, a report published by Yoti, a sector specialist in identity verification, reveals that with the adoption of advanced monitoring tools, artificial intelligence (AI), automation, and improved links with external and third-party databases, organisations are equipped to tackle the problem head-on. This report, the first in an annual series, explores the tactics fraudsters employ, including the use of deepfakes and tampered documents. It also highlights the sophistication and affordability of fake national IDs and driving licenses generated by AI. The report emphasizes the importance of a layered approach to fraud detection, combining technology with a team of verification experts to ensure the safety of businesses and individuals. Yoti, as an identity provider, is uniquely positioned to gain insight into the techniques used by fraudsters and continuously develops its tools to stay ahead of the game in detecting and preventing fraud. While it's difficult to determine if fraud is increasing overall, organisations' ability to detect and notify instances of fraud has improved. This could suggest that higher volumes of fraud are being detected, especially as low-level fraud has become more accessible to a larger number of people. Advancements in technology have made it easier for fraudsters to produce convincing fake documents, with certain jurisdictions being at higher risk. Yoti's data reveals that the most fraudulent driver's licenses come from Sri Lanka, Thailand, Portugal, Lithuania, and Nigeria, while fraudulent national IDs are more likely to originate from Cyprus, Poland, Indonesia, and Slovenia. To detect identity fraud effectively, organisations should adopt a coherent strategy that includes standard document authenticity checks to verify government-issued IDs. Face matching is also crucial, and Yoti employs its proprietary liveness technology, MyFace, to ensure that photos presented are of real individuals and not manipulated images used in presentation attacks. In addition, Yoti's Secure Image Capture (SICAP) detects more sophisticated injection attacks using manipulated images or AI-generated content. Yoti recommends the use of live human verification experts, including super recognisers skilled in face matching, to step in when automated tests fail. Moreover, organisations should consider implementing digital ID support, which can reduce the amount of personal data shared and eliminate the need to carry physical IDs. As fraudsters continue to innovate, Yoti remains committed to developing tools that stay at the forefront of detecting and preventing fraud. With a combination of leading AI technology
Date of avatar: March 31, 2024, 12:55 p.m.
Tags: fraud detection, digital id support, face matching technology, national ids, layered approach, advanced monitoring tools, artificial intelligence ai, identity fraud, fake identification documents, document authenticity checks, third-party databases, automation, driving licenses
Content: A report by identity specialist Yoti suggests that organisations are becoming more adept at addressing the problem of identity fraud by adopting advanced monitoring tools, artificial intelligence (AI), automation, and improved links with third-party databases. The report highlights the increasing sophistication and affordability of fake identification documents, such as national IDs and driving licenses, which can now be generated by AI. Yoti recommends a layered approach to fraud detection, combining technology with a team of verification experts. The report also emphasises the importance of document authenticity checks, face matching technology, and digital ID support.