Fraud has long since gone beyond stolen credit cards and forged signatures. The modern-day criminals utilize the digital channel, artificial identities, and AI-generated deepfakes to evade the conventional security systems. This has led to companies in finance, e-commerce, healthcare, and telecommunications resorting to identity verification as the initial and most important point of defense. It is vital to any organisation that is serious about safeguarding its customers and its bottom line to understand how modern verification systems work, and why they are important.
Why Traditional Security Controls Are No Longer Sufficient
The backbone of preventing frauds over the years was the use of passwords, security questions and the basic checks of the documents. All these techniques presupposed that only the rightful owner of an account would guess the maiden name of a mother or a childhood pet. This is no longer true. Billions of personal records have been poured into the dark web by data breaches and now provide fraudsters with the ready answers these questions are founded on. Businesses are virtually leaving the front door open to bad actors with keys in their hands without having a solid identity verification system in place.
This issue was accelerated by the transition to services based in the digital first during and after the pandemic. Onboarding of customers, loan applications and account sign-ups are now completely online, removing the face to face interactions that used to be a natural deterrent of fraud. With this kind of environment, it will be necessary to prove who someone is, and that they are who they say they are through technology far beyond asking them to provide a username and a password.
Identity Verification Systems
A contemporary authentication system is an identity system which integrates several levels of verification in order to build trust in the identity of the person presented. This usually starts with document verification whereby a government issued ID like passport or driving licence is scanned and verified to be authentic. Holograms, microprint, fonts, and other security elements are analyzed with advanced algorithms that identify forgeries that cannot be detected by the human eye.
Biometric verification is the next level. Once a document is submitted, a user is requested to take a live selfie or make a short video. The system will then compare the biometric data in the selfie to that on the photo on the document submitted, to make sure that the individual holding the ID is the individual in the photo. Another protection is liveness detection technology which ensures that the selfie being captured is in real time and not being spoofed by a printed image or a recorded video.
In addition to documents and biometrics, the data of many verification platforms cross-checks the data of the users with global watchlists, sanctions databases, and politically exposed persons registers. This multi-layered design renders it extremely hard to have a fraudster pass through unnoticed.
Increasing Risk of Identity Verification Fraud
With these innovations criminals are not stopping. There is an increasing number of identity verification fraud- efforts to bypass verification systems by presenting forged, modified or stolen documents and biometric spoofs. Scammers have become capable of producing good-quality fake IDs printed on commercial-grade printers and even utilise generative AI to produce a convincing deepfake video with the ability to bypass simple liveness detection.
This security provider versus scammer race is fueling the ever-evolving innovation in the verification arena. Metadata analysis, pixel-level manipulations, and presentation attacks have to be identified in milliseconds to ensure that systems keep pace with threats that are becoming more and more advanced.
Synthetic Identity Fraud Prevention: An Urgent Issue
Synthetic identity fraud is one of the fastest-growing types of fraud around the world. Instead of wholesale stealing the identity of an existing individual, criminals create completely new identities blending real and fake data - a real national insurance number with an imaginary name and date of birth, e.g. These artificial identities can even survive a simple verification test as some of the information is valid.
Prevention of synthetic identity fraud must take a completely new approach. The old one-to-one matching is not possible since no real victim to match exists. Rather, successful prevention depends on cross-referencing data points between various sources, finding inconsistencies in the identity histories, and applying machine learning models that have been trained to identify the behavioural patterns that are typical of synthetic identity in the onboarding and transaction activity.
Rise of AI Fraud Prevention
The battle against fraud has now shifted towards artificial intelligence. In real time, AI fraud detection systems process large volumes of data and are able to detect patterns and anomalies that would otherwise be challenging to detect in scale by human analysts. Machine learning models keep getting better with every new fraud vector that they are exposed to and thus with time, they become more effective.
The document and biometric verification mentioned above are also enabled by AI. Deep learning models are used in optical character recognition, facial comparison algorithms and liveness detection and become more accurate with each use. Most importantly, AI also facilitates risk-based decision making, where businesses can use a lighter verification in a low risk transaction and a heavier verification in a high risk transaction, thereby maximizing security and user experience.
Looking Ahead
With more advanced fraud methods, identity validation will continue to be the core of any effective fraud prevention approach. Intelligent, multi-layered verification systems will enable organisations investing in them today to be much better placed in protecting their customers, complying with regulatory mandates, and continuing to enjoy backing among the growing digital world. The only choice is not to do nothing - fighting fraud the price of inaction is always higher than the price of caution.
