A lender’s guide to understanding risk assessment
Without proper risk assessment, you're open to a slew of potential problems, like losing money, facing fines, damaging your rep, falling prey to fraudsters, and even cyberattacks.
How we used AWS to build our identity and liveness system
Building reliable identity verification and liveness detection systems is one of the biggest challenges facing modern digital platforms, especially in fintech, lending, and online onboarding. These systems must balance speed, accuracy, scalability, fraud prevention, and user experience, all while handling large volumes of sensitive customer data securely. In this article, we explore how we used Amazon Web Services (AWS) to build our identity and liveness system, covering the infrastructure choices, architecture decisions, verification workflows, and AWS services that powered the solution. From facial recognition and document verification to scalability, security, and real-time processing, this piece breaks down the practical lessons, challenges, and technical considerations involved in developing a robust digital identity system.
How to identify fake or predatory loan apps
As digital lending expands, so does the risk of fake or predatory loan apps targeting unsuspecting borrowers. These platforms often use misleading terms, aggressive collection tactics, and hidden charges to exploit users. Knowing how to spot warning signs, such as lack of transparency, excessive permissions, and unregulated operations, is essential for both borrowers and lenders. Identifying these red flags early can help prevent financial harm and promote a safer, more trustworthy lending ecosystem.