Express.js Middleware for Adaptive Friction in Identity Verification

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Adaptive friction is a dynamic security strategy that uses real-time risk assessments to tailor the level of identity verification required for user interactions, enhancing both security and user experience. This approach ensures minimal inconvenience for trusted users while imposing stricter checks on potentially suspicious activities. By integrating adaptive friction into applications, developers can leverage tools such as Express.js middleware, which intercepts requests and evaluates risk using signals like IP address and user history, to initiate appropriate identity verification flows through platforms like Didit. Didit's AI-native, modular platform offers a range of identity verification products, including ID Verification, Liveness, and AML Screening, enabling developers to create flexible verification workflows that adapt to varying risk levels. This system automates complex identity checks, reduces manual review, and enhances fraud prevention, all while maintaining a developer-first approach with no setup fees and a pay-per-successful-check model. With Didit's comprehensive suite of products and a no-code Business Console, developers can design sophisticated workflows or integrate directly using APIs, significantly improving both security posture and user satisfaction.

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