Leading Identity Authentication Software Solutions

I’m reviewing identity authentication software that can meet the demands of digital-first businesses. The ideal solution should be accurate, developer-accessible, and flexible enough to handle global verification challenges without compromising speed or compliance.

Here are a few platforms that are highly rated in G2’s Identity Verification Software category. If you’ve worked with any of these, I’d love to know how they performed in real-world conditions:

Incode

Incode provides an AI-powered identity orchestration platform built for automation and scale. G2 reviewers highlight its seamless user experience and advanced fraud prevention capabilities, especially in regulated industries like finance and healthcare. It also offers strong SDK and API options for developers integrating authentication into apps.

iDenfy

iDenfy is a cost-effective identity authentication tool known for fast setup and responsive support. It includes biometric matching, document verification, and anti-fraud tools. G2 reviews emphasize that it's well-suited for teams needing solid security without overcomplicating the user experience.

Sumsub

Sumsub is a full-stack identity verification and compliance platform supporting everything from KYC to transaction monitoring. According to G2 users, its global document support and built-in compliance logic reduce manual review time, making it a strong fit for companies expanding into multiple markets.

Ondato

Ondato focuses on compliance-aligned identity verification with support for remote onboarding, facial biometrics, and video-based authentication. G2 reviewers note its wide regulatory coverage and customization features, which are helpful for businesses operating across industries like fintech, legal, and insurance.

Mastercard Identity Review 360

Mastercard Identity Review 360 provides layered identity intelligence by combining device, behavior, and risk signals to verify user authenticity. G2 reviews point to its strength in fraud detection and support for digital trust frameworks. It's often used in high-risk use cases where precision is critical.

If your team has compared any of these, I’d like to know:

• Which solutions required the least tuning post-integration?
• Which ones delivered consistently under volume or geographic diversity?