IDs processed every month
countries supported for verifying identities
to capture and extract data
Protect your fintech platform from sophisticated fraud, including synthetic identities and account takeovers, without compromising the user experience. Our advanced AI-driven fraud detection, powered by proprietary machine learning, identifies threats in real-time to safeguard your assets and reputation.
Integrate seamlessly with our robust SDKs for instant document verification and biometric liveness checks directly within your application. This empowers you to onboard legitimate users swiftly, reduce fraud losses, and maintain competitive conversion rates with unparalleled accuracy and speed.
Microblink’s AI-powered SDKs enable real-time ID document scanning and certified liveness detection directly within your app, verifying genuine users in seconds.
This proactively combats synthetic identity threats at onboarding, ensuring a secure yet frictionless user experience and high conversion rates.
Leverage Microblink’s advanced AI to instantly scan payment cards and verify user identities, significantly reducing card-not-present fraud and chargebacks.
Our technology provides a critical, real-time defense against account takeovers by ensuring only legitimate users can access and transact.
Microblink’s robust SDKs offer unparalleled speed and accuracy for high-volume identity and payment verification, processing billions of scans annually.
Seamlessly integrate our cutting-edge AI into your fintech platform for real-time fraud detection that scales with your growth without compromising user experience.
First Abu Dhabi Bank partners with Microblink to accelerate ID scanning during KYC verification.
Discover how Attain is transforming the consumer-permissioned future with BlinkReceipt.
Discover how BlinkID revolutionized Jurat’s user experience and contributed to their success in the digital notary industry.
Quick and accurate ID verification, ensuring a seamless and secure registration process
Meet regulatory requirements with ID document verification and non-documentary signals
Verify identity and prevent unauthorized transactions through secure document scanning
Detect stolen or synthetic identities with precision and verify IDs to prevent fraudulent account creation and transactions
Ensure compliance and prevent underage access by instantly verifying customer ages through secure ID scanning
With 12 years of expertise in computer vision R&D, Microblink has been at the forefront of AI-driven identity verification, continuously innovating to deliver fast and accurate solutions.
We pioneered AI-driven identity verification, setting the standard for fast, secure, and accurate ID scanning solutions.
We develop our AI in-house, using proprietary data and a dedicated team of machine learning specialists to ensure unmatched accuracy and performance in identity verification.
With 12 years of expertise in computer vision R&D, Microblink has been at the forefront of AI-driven identity verification, continuously innovating to deliver fast and accurate solutions.
We pioneered AI-driven identity verification, setting the standard for fast, secure, and accurate ID scanning solutions.
We develop our AI in-house, using proprietary data and a dedicated team of machine learning specialists to ensure unmatched accuracy and performance in identity verification.
Leverage multi-layered AI/ML-driven identity verification that combines document scanning, biometric facial matching, and liveness detection. Use passive signals (device, behavioral, network analysis) to flag anomalies before escalating to additional checks. Implement adaptive workflows that only trigger extra verification steps for high-risk profiles, preserving a seamless experience for genuine users.
Fintechs should focus on advanced threats like synthetic identities, account takeovers (ATO), mule accounts, application fraud, authorized push payment (APP) scams, transaction laundering, and AI-generated or manipulated documents. Solutions should explicitly address these scenarios with tailored detection logic and risk scoring.
Top solutions offer robust RESTful APIs, SDKs for mobile/web, and pre-built connectors for orchestration platforms. Look for clear documentation, sandbox environments, and support for asynchronous decisioning. Common pitfalls include lack of real-time feedback, poor error handling, and limited customization—ensure the vendor supports your specific onboarding and risk workflows.
Key metrics include document verification accuracy, biometric match rates, liveness detection success, false positive/negative rates, decisioning speed (seconds), and cost per verification. Request third-party validation, independent benchmarks, and customer case studies. Run pilot tests using your own user data to validate vendor claims in your environment.
Choose solutions that are independently certified (ISO, SOC 2, iBeta, GDPR-compliant) and offer configurable workflows to meet jurisdictional requirements. Use dynamic risk assessment to minimize data collection for low-risk users, and ensure clear consent and data minimization practices to maintain compliance without unnecessary friction.
Stay ahead of threats like deepfake video attacks, AI-generated synthetic documents, and crypto-specific laundering schemes. Modern solutions use advanced computer vision, deep learning, and cross-channel data enrichment to detect manipulation and synthetic patterns. Regularly update your fraud models and partner with vendors who demonstrate ongoing R&D and threat intelligence.
