Stripe Identity vs. PingOne Protect

A highly effective way to verify identities is through Stripe Identity, which enables the systematic verification of users' identities globally, thereby minimizing fraud risks while ensuring a smooth experience for legitimate customers. By decreasing the presence of fraudsters and harmful entities, your marketplace or community can significantly bolster its credibility. This innovative solution supports your risk management teams in securely acquiring identity data, allowing them to distinguish between authentic users and imposters. It also simplifies the onboarding experience for users, making identity verification straightforward while adhering to necessary compliance regulations. Moreover, it adds an essential layer of security when granting access to sensitive features or addressing any unusual activities linked to an account. Leveraging the same technology that underpins Stripe's verification process for millions of users worldwide, Stripe Identity is integral to our robust Know Your Customer (KYC) protocols and risk management strategies. In light of the challenges presented by varying government ID standards, Stripe Identity effectively streamlines the identity verification process for a global audience, fostering a safer and more trustworthy environment for all participants. Ultimately, by implementing this solution, organizations can build confidence among their users, paving the way for a more secure digital landscape.

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.