Trusting Social vs. Outseer Fraud Manager

Our organization delivers AI-powered solutions tailored for credit risk assessment, identity verification, and customer acquisition, specifically within the lending industry, with the intention of assisting the 3 billion people who lack adequate banking services. By leveraging a comprehensive range of Big Data technologies alongside an innovative AI-based alternative credit scoring system and robust fraud detection mechanisms, we are transforming financial services while targeting often overlooked market segments. We enable digital customer onboarding from virtually anywhere and at any time, utilizing advanced facial recognition, AI-driven fraud detection, and ID verification to ensure secure transactions. Our ambition is to connect millions of creditworthy but underserved borrowers by establishing a streamlined digital lending framework that boasts disbursal rates significantly higher than conventional approaches. It is crucial to note that all information is securely stored within the partner’s data center, granting them full control over data management processes. We only work with data that has been masked, anonymized, and aggregated to guarantee that individual personal information remains confidential. Additionally, we design and implement systems that comply with GDPR and other local data security and privacy regulations, ensuring that our operations reflect the highest standards of integrity and compliance. This unwavering commitment to security and privacy not only reinforces our dedication to building trust and transparency in financial services but also helps us create a more inclusive financial ecosystem for all. Ultimately, our innovative solutions are paving the way for a future where more individuals can access essential financial resources.

Outseer Fraud Manager is an advanced platform designed to oversee transactional risk, utilizing state-of-the-art machine learning algorithms combined with a powerful policy engine to thoroughly assess and mitigate risks throughout the digital customer experience. By leveraging insights gained from innovative data science methodologies validated in high-risk contexts, organizations can better protect themselves against new fraud trends through exclusive consortium data. Users benefit from risk models honed through the analysis of billions of transactions from major financial institutions worldwide. This platform also facilitates the smooth integration of insights from both authentication and payment processes, improving risk scoring by considering signals from both first-party and third-party data sources. With the ability to implement consistent risk controls across all customer engagements, businesses can effectively use standardized risk scores to find a balance between reducing fraud, enhancing customer satisfaction, and controlling operational costs. Furthermore, it allows for timely policy modifications in response to the constantly shifting threat landscape. Ongoing collaboration with a dedicated team of experts promotes continuous enhancements and enables comparative evaluations with industry counterparts. Ultimately, this holistic strategy positions organizations to proactively combat fraud while building and maintaining customer trust in an increasingly complex environment. By prioritizing these efforts, companies can stay ahead of potential threats and ensure a safer transaction experience for their clientele.