Stop fraudulent IDs and synthetic documents at the source with our AI-powered document verification platform. Instantly scan, classify, and validate identity and payment cards in real time—trusted by leading identity verification providers. Defend against deepfakes and scale compliance with lightning-fast, fully automated security checks.
IDs processed every month
countries supported for verifying identities
to capture and extract data
Safeguard your business and accelerate customer onboarding with our cutting-edge fraud detection software. Leveraging advanced AI and machine learning, we provide real-time identity verification and automated decisioning.
Deliver a seamless user experience while ensuring robust compliance and significant operational savings. Our multi-layered verification starts with advanced document analytics, checking for image quality, data consistency, face photo tampering, screen presentation attacks, and photocopy usage. From there, biometric matching and liveness detection ensure the person behind the document is real and present. This layered approach proactively stops sophisticated fraud attempts before they can impact your operations.
Microblink’s lightning-fast identity and document verification technology instantly authenticates users during onboarding.
This capability proactively blocks fraudulent account creations, safeguarding your business from synthetic identities and stolen credentials from the first interaction.
Integrate Microblink’s secure payment card scanning with identity verification to detect payment fraud at the point of transaction.
Our solution provides a new line of defense against card-not-present fraud and chargebacks by verifying credit card data and card presence in real time—before the payment transaction even begins.
This powerful combination minimizes chargebacks and card-not-present fraud by ensuring the legitimate cardholder is present and verified.
Microblink’s precise data extraction from identity documents seamlessly feeds into your KYC and AML compliance workflows.
This automation significantly enhances the accuracy and speed of fraud screening against watchlists, ensuring regulatory adherence while deterring illicit activities.
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.
Synthetic identity fraud is increasingly sophisticated, often bypassing basic checks. To combat this, leverage multi-layered verification: combine document authentication, biometric checks, and device intelligence. Use solutions that cross-reference applicant data with authoritative databases and watchlists. Regularly update your fraud detection models to adapt to new tactics.
Fraudsters often use stolen or fabricated IDs, deepfakes, and social engineering to bypass onboarding. They may exploit weak document scanning, reuse compromised credentials, or manipulate onboarding flows with bots. Implementing liveness detection, robust document verification, and behavioral analytics can help mitigate these risks.
Overly strict verification can frustrate legitimate users, leading to drop-offs. Choose solutions with adaptive risk scoring and only escalate to additional checks when risk signals are present. Use passive fraud detection (like device fingerprinting) in the background, and ensure your workflows are mobile-friendly and fast.
High false positives can block good customers and hurt revenue. Audit your current rules and machine learning thresholds. Work with your provider to fine-tune models using your historical data. Consider layering additional data sources (e.g., behavioral biometrics) to improve accuracy and reduce friction for legitimate users.
Select fraud detection tools that are purpose-built for regulated industries and offer audit trails, reporting, and ongoing monitoring. Ensure your provider supports regulatory requirements like GDPR, and that their data handling practices align with your compliance obligations. Automated watchlist screening and ongoing transaction monitoring are key.
Among all participating vendors, Microblink was the only provider to meet RIVR “high performing” system benchmarks across every measured accuracy metric.
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