Capture Trust

Digital identity theft prevention and protection Identity theft remains a growing threat for financial and government services, challenging digital trust and user experience. In 2024 U.S. authorities received over 1.1 million identity-theft reports, underscoring the scale of the problem. New fraud patterns (e.g. tax-refund schemes, synthetic identities, AI-driven deepfakes) demand advanced solutions. This report examines risk trends and regulatory context, and outlines a layered defense strategy: strong biometric authentication, real-time fraud analytics, and user-centric protections (like credit monitoring and insurance). For example, Identy.io (a FIDO Alliance member) offers a touchless mobile biometric platform with built-in liveness checks, illustrating how modern identity

Biometric identity verification for taxpayer accounts using facial recognition One high-profile example is the Internal Revenue Service’s attempt to use facial recognition for its online taxpayer accounts. In 2021 and 2022, the IRS verified users by matching a selfie to their photo ID before granting access to tax records. This biometric verification aimed to prevent identity theft and fraud in IRS e-services, while also moving toward more privacy-preserving models based on on-device biometric processing and strict data minimization principles, aligned with GDPR and FIDO standards. Following public backlash over privacy concerns, the IRS introduced an alternative path: taxpayers could opt for

In today’s fintech, banking, and government services, mobile channels carry high stakes. Account breaches and fraud not only incur financial losses but erode customer trust. Unfortunately, traditional passwords and OTPs are falling short. Credential theft remains rampant, IBM’s threat intelligence reports that stolen passwords are the leading cause of breaches, with nearly one-third of cyberattacks involving hijacked user accounts. This risk is amplified by emerging threats like AI-driven deepfakes. The World Economic Forum’s Cybercrime Atlas initiative warns that sophisticated deepfake tools now enable criminals to bypass facial verification and KYC processes, undermining digital trust and creating systemic risks for institutions. Likewise,

What is a biometric deepfake? A biometric deepfake is an AI-generated fake that imitates a person’s biometric data (typically facial images or voice), often with startling realism. Using deep neural networks, attackers can create synthetic faces or videos that closely mimic a real user’s appearance and expressions. These forgeries pose a serious threat to facial recognition systems and identity verification processes. Human eyes and even standard algorithms struggle to tell high-quality deepfakes apart from genuine footage, in one study, people only spotted deepfake videos 24.5% of the time.  This means 75% of deepfakes went unnoticed, underscoring how easily they could slip

The management of government procedures remains to this day often a complex process fraught with inconveniences, with different barriers that hinder equal access to basic services for all citizens. The need for the digitalization of these procedures, although it has always been evident, became even more apparent with the appearance of a pandemic that forced the population to stay at home, thus evidencing the lack of systems to make certain requests via telematics due to the lack of reliable digital identification systems.  Although the situation has improved since then thanks to technological advances, this has also been a double-edged sword due