Question: Can you suggest a tool that helps distinguish between real and fake identities to reduce manual reviews and improve online safety?

If you need a system to help you separate legitimate from bogus identities, Verisoul has a fraud detection and prevention system. It automates manual processes, consolidates vendors and tries to stay one step ahead of fraudsters by monitoring a variety of signals like device risk, proxy detection and face matching. Verisoul is designed to be easy to integrate and works across multiple industries, offering automated decisions and workflows that minimize manual reviews and ad-hoc data analysis.

Another option is Microblink, which offers AI-powered document-based workflow automation for identity verification. It includes tools like BlinkID for secure ID scanning and data extraction, BlinkID Verify for real-time ID verification, and BlinkCard for secure credit card scanning. Microblink supports more than 2,500 identity documents from 140+ countries and helps organizations comply with KYC, AML and age verification requirements through industry-leading features and ISO/IEC certifications.

For a more global approach, Pipl links online identities to real people and their offline records, providing real-time identity verification and global coverage of over 5 billion trusted identities. It offers automated decisioning with instant Trust Scores and easy API integration, allowing companies to approve users at scale through automation and protect against fake identities.

Last, Yoti offers a variety of customer verification options, including identity verification, age checks and digital ID. It uses automated document verification, human review and AI-based services to achieve high success rates and minimize bias. Yoti is built with security and privacy in mind, encrypting customer data and integrating with more than 70 popular SaaS products through APIs and SDKs.