Traditional ID verification methods rely on physical documents and face-to-face interactions, making them cumbersome, inefficient, vulnerable to fraud, and inaccessible to those with mobility challenges. With the rise of online services, these options are no longer sufficient.
This blog post explores the evolution of ID verification and the concept of digital trust and explores how organizations can collaborate to bring these solutions to life.
Digital-Savvy Consumers and the Advent of Digital Trust
Digital trust refers to the confidence consumers have in the security, privacy, reliability, and integrity of digital platforms and transactions. In short: Consumers are counting on websites, applications, and online services to protect their personal information1. But as identity theft3 and payment fraud4 continue to skyrocket, digital trust is getting harder and harder to come by.
Although nearly 8 in 10 Canadians are concerned about online privacy issues2, they are unwilling to compromise convenience when it comes to digital trust. Today’s hyper-competitive marketplace places consumers in the driver's seat when it comes to selecting brands who offer them the perfect balance of security and innovation.
Traditional ID verification processes are becoming obsolete due to advancements in AI and the emergence of deepfakes. However, as these technologies evolve and grow, so does the need for caution and responsible use.
Technology |
Advantage |
Caution |
Biometrics |
Fingerprints, facial recognition, iris scanning, and voice recognition offer high security due to their unique, hard-to-replicate characteristics. |
Stringent regulations and transparency is required around how this data is collected, stored, and used. |
Digitization |
Reduces manual intervention and paperwork, cutting administrative costs and optimizing operational expenses. |
Susceptible to outages and cyberattacks, leading to breaches and compromised data. Can also be expensive to implement, requiring significant technical expertise and resources. |
Artificial Intelligence (AI) and Machine Learning (ML) |
Makes ID verification more accurate and efficient through real-time data analysis, and anomaly and pattern detection. Learns from data to continually improve and better detect fraud. |
Training-based biases can cause unfair disadvantages for certain demographic groups (such as ethnic minorities or people with non-traditional gender identities). Highly realistic fake images, videos, or audio (also known as deepfakes) are conduits for bad actors and can lead to identity theft and fraud. |
Partnerships between technology providers, public and private sectors, and governing councils are crucial to ensure that technology is developed with digital trust in mind. Here are just a few examples:
Oliu is Building a Safe and Digitally-Focused Future
As businesses embrace digital transformation, ID verification platforms that deliver the perfect blend of safety, security, privacy and customer-centricity are taking centre stage.
Oliu offers a future where identity verification is safe, secure, seamless and truly customer-centric. We’re proud to be a leader in the digital trust space in several areas:
Book a call with an Oliu Solutions Expert today to learn more about the future of identity management or to explore how Oliu can help your organization participate in the future of digital trust.