Dynamic Friction in KYC: Mastering Real-time Policy Decisions

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In the digital landscape, businesses face the challenge of balancing security and user experience, which is where dynamic friction in identity verification becomes essential. This approach allows for real-time adjustments to security measures based on a user's risk profile, reducing unnecessary friction for low-risk users while applying appropriate scrutiny to high-risk individuals. Didit, an AI-native platform, offers businesses the tools to implement sophisticated, real-time Policy Decision Points (PDPs) for dynamic Know Your Customer (KYC) workflows. These workflows utilize composable identity primitives and a no-code orchestration engine to tailor verification journeys, integrating various checks such as ID Verification, Liveness Detection, and more. By leveraging real-time signals, businesses can improve conversion rates, enhance fraud detection, ensure compliance, and reduce operational costs. Didit's flexible and open architecture allows for quick adaptation to new threats and offers a free core KYC service with a pay-per-successful check model, making advanced dynamic friction accessible to businesses of all sizes.

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