Prove Blog

Identity fraud is a constantly evolving threat, and organizations must develop rigorous strategies to protect themselves and their customers against the efforts of bad actors who use false, stolen, or synthetic identities to perpetrate fraud.

Learn how to use the Prove Link™ solution to simplify identity verification with a centralized SDK that streamlines the integration process.

Prove and AWS recently pulled their collective team efforts onto the field to host Play Ball: Fielding Fraud in the Age of AI.

How can businesses ensure a seamless onboarding experience that also safeguards against potential threats?

We are pleased to announce that the Prove Auth® passwordless authentication solution has been awarded a prestigious 2024 Datos Insights Fraud Impact Award in the category of Best Authentication Innovation Solution.

Jericho Pictures, Inc., d/b/a/ National Public Data (“NPD”) confirmed last week that it fell victim to a significant security breach dating back to December 2023.

Online marketplaces share a fundamental objective: facilitating transactions between parties, and knowing if those parties are an actual person, a bot, or a bad actor.

We’re proud to announce that Prove Identity Network® has won the Tech Of The Future for Digital Security & Fraud Prevention award at the 2024 PayTech Awards.

We’re excited to announce the appointment of Linda Mantia to our Board of Directors. Linda, who serves on multiple boards across North America, brings nearly three decades of executive leadership and corporate advising to Prove’s board. 

In an ever-evolving digital landscape, biometric technology has revolutionized how we authenticate and secure our online identities.

Phone-Centric Identity™, also known as Mobile Identity, Device Intelligence, or Phone Intelligence, refers to technology that leverages and analyzes mobile, telecom, and other signals for the purposes of identity verification, identity authentication, and fraud prevention.

AI tools can autonomously generate threat detection queries, sift through vast amounts of data, and pinpoint potential threats without manual intervention.