Zighra vs. PingOne Protect

Seamlessly onboard users into your system while ensuring continuous protection and allowing access without the need for passwords. Our advanced AI models are engineered to evolve at a speed that is ten times faster than traditional algorithms. We proudly present the world’s first FIDO-certified behavioral authentication technology that functions entirely on the device, enhancing security without reliance on external systems. Each customer possesses unique characteristics, and Zighra excels at capturing and reflecting this individuality. Utilizing its patented technology, Zighra delivers real-time behavioral analytics alongside strong security protocols that constantly confirm user identity without disrupting the user journey. With Zighra, you can accurately determine the exact moments of customer engagement with remarkable precision. The solution offers various deployment options, whether on-premise, in the cloud, or directly on the device, catering to user preferences. To verify users, a designated action is required, such as holding the phone and swiping, effectively differentiating human users from bots trying to gain access. This harmonious integration of user experience and security guarantees that customer interactions are consistently smooth and reliable, thus enhancing overall satisfaction. Moreover, Zighra’s technology not only boosts security but also fosters a sense of trust between users and the system, reinforcing the importance of personalization in digital interactions.

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.