Trusting Social vs. PingOne Protect

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.

Protect your accounts from takeovers, fraudulent registrations, and the fatigue associated with multifactor authentication by utilizing PingOne Protect's extensive capabilities. This advanced solution evaluates multiple attack vectors, assigns risk levels, and delivers insightful data, facilitating the deployment of countermeasures that effectively block potential dangers while allowing legitimate users to authenticate with ease. By employing intelligence-based policies, PingOne Protect synthesizes results from various risk factors to create a holistic risk score. This score is associated with specific policies that determine the amount of friction experienced by users during interactions, including methods such as CAPTCHA, password resets, selfie verifications, and push notifications. To maximize the accuracy of the predictors, consolidate them, incorporate signals from outside sources, and apply overrides when necessary. The predictors include bot detection, IP velocity, user velocity, unusual velocity patterns, discrepancies in user location, IP reputation assessments, use of anonymous networks, behavioral risks, user-based risk models, detection of new devices, identification of suspicious devices, and custom or third-party predictors, all of which contribute to a robust risk management strategy. By implementing these comprehensive strategies, organizations can greatly enhance their defenses against a wide range of cyber threats and maintain user trust in their security measures. This proactive approach not only secures sensitive information but also improves the overall user experience by minimizing disruptions.