Protect your business from evolving payment threats—including synthetic IDs, card-not-present fraud, and deepfake attacks—with industry-leading accuracy and instant decisioning. Leverage proprietary machine learning to reduce false positives, ensure regulatory compliance, and seamlessly integrate with your existing payment infrastructure. Experience scalable fraud prevention built for high-volume, global operations.
IDs processed every month
countries supported for verifying identities
to capture and extract data
Protect your organization from escalating payment fraud with our cutting-edge AI/ML platform. We deliver real-time detection of synthetic IDs, card-not-present fraud, and emerging deepfake attacks, safeguarding your revenue streams.
Achieve superior loss prevention and compliance adherence with industry-leading accuracy rates and minimal false positives. Our solution seamlessly integrates into your existing infrastructure, ensuring robust protection while meeting PCI DSS and AML requirements.
Microblink’s BlinkID Verify and BlinkCard leverage advanced AI/ML to instantly detect synthetic IDs, deepfakes, and card-not-present fraud during payment transactions.
This ensures robust protection against emerging threats, significantly reducing financial losses and chargebacks for Risk Managers.
Achieve stringent PCI DSS and AML compliance with Microblink’s highly accurate, on-device data extraction and verification, minimizing regulatory risks. Our solutions drastically reduce false positives, streamlining fraud review processes and boosting operational efficiency for your team.
Our highly optimized SDKs deliver a lightning-fast, intuitive experience that boosts conversion rates and customer satisfaction.
Microblink’s SDK-first approach enables rapid integration into existing payment infrastructures, delivering immediate ROI by preventing fraud losses and accelerating transaction flows.
Experience verification speeds of under 2 seconds, improving customer experience while fortifying your fraud defenses.
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.
Modern AI/ML-powered fraud detection systems use adaptive learning and behavioral analytics to distinguish between legitimate and suspicious transactions more accurately. By leveraging dynamic risk scoring, device intelligence, and contextual data (e.g., geolocation, transaction history), these systems minimize false positives while maintaining robust fraud prevention. Look for solutions that allow you to customize thresholds and continuously tune models based on feedback from your fraud operations team.
Detection accuracy rates for leading AI/ML-based payment fraud solutions typically range from 92% to 98%, depending on the use case and data quality. Accuracy is measured using metrics like true positive rate (TPR), false positive rate (FPR), and area under the ROC curve (AUC). Request vendors to provide recent, third-party validated benchmarks specific to your industry and transaction types for a realistic assessment.
Advanced systems combine multiple layers of verification, including document authentication, biometric liveness detection, device fingerprinting, and behavioral analytics. For synthetic IDs and deepfakes, deep learning models analyze facial biometrics, document integrity, and cross-reference with global watchlists and databases. Card-not-present fraud is mitigated through real-time transaction monitoring, velocity checks, and anomaly detection algorithms that flag unusual patterns instantly.
Organizations typically see a 30–70% reduction in fraud losses within the first year, along with operational savings from fewer manual reviews and chargebacks. Automated systems also improve customer experience by reducing friction for legitimate users. Ask vendors for case studies or calculators that estimate ROI based on your transaction volume, historical fraud rates, and current manual review costs.
Most modern solutions offer flexible integration options, including RESTful APIs, SDKs, and pre-built connectors for popular payment gateways and core banking systems. Look for platforms that support real-time decisioning, batch processing, and customizable workflows to fit your operational needs. Ensure the vendor provides robust developer documentation and dedicated integration support.
Best-in-class solutions are built with compliance in mind, offering features like encrypted data transmission, audit trails, automated reporting, and configurable retention policies. They support PCI DSS and AML requirements by enabling transaction monitoring, suspicious activity reporting, and secure handling of sensitive data. Verify that the provider is certified for relevant standards (e.g., PCI DSS, ISO 27001, SOC 2, GDPR) and can provide documentation for audits.
