Realeyes

An AI-assisted purchase can be technically valid and still be the wrong transaction: an agent may select an unsuitable item, exceed a budget, or act on stale preferences. That gap matters because a purchase is a sequence of decisions, not a single click.

Every fraud control needs a defined job. A login, a new-account application, and a high-value transaction raise different questions. A feature checklist alone can obscure important gaps. Effective fraud prevention software supports a layered decision proc

A remote exam can confirm that someone is sitting in front of a camera without confirming that the registered candidate is the person taking the test. That distinction matters when institutions need to manage proxy test-taking, duplicate accounts, spoofin

An identity verification endpoint can return a confident result and still leave an enterprise exposed. The difficult work sits around the request. Teams must define what to verify, limit the data collected, handle uncertain outcomes, and connect each deci

For an online platform, the hard question isn't whether bots exist. It's whether the team can tell real participation from automated activity, duplicate accounts, deepfakes and stolen identities.And it has to do that without creating a privacy problem of

Behavioral biometrics can turn ordinary interaction into a useful risk signal. Typing rhythm, touch patterns, mouse movement, device handling, and other habits help distinguish a familiar user from an automated or hijacked session. The value isn't in coll

Identity verification for digital signatures answers a question that an email address cannot: who was actually present when someone signed the agreement? In practice, the useful design for enterprise teams is not to confuse verification with the signature

Realeyes CPO Scott Jones spent last week at the GDC26 Summit in Geneva. The event ran September 1 to 3, 2026, at Palexpo. GDC (the Global Digital Collaboration initiative) is an invitation-only, standards-body-run event. Over 2,000 policymakers and techno

When developers hear "facial recognition," they usually picture identifying a specific person. But most platforms face a simpler problem: confirming that a visitor is a real, live human, not a bot, a bad actor or a deepfake. That distinction is your first

A liveness detection SDK is only useful when it survives the parts of integration that happen outside the model: camera permissions, poor lighting, interrupted sessions, assistive technology, retries and a release process that can explain every decision.