Latest from the Didit blog.
Regex for Identity: Data Validation & Accuracy
Learn how regular expressions (regex) enhance data validation in identity verification, improving accuracy and security. Explore practical applications and best practices for robust data handling.
DTC Fraud Prevention: A Risk Scoring Guide
Direct-to-consumer (DTC) brands face unique fraud challenges. This guide explores DTC risk scoring, loss prevention strategies, and how to combat level 1 chargebacks. Learn how to protect your business and bottom line.
Beyond Background Checks: How Identity Verification Stops Candidate Fraud Before Day One
Traditional background checks miss modern candidate fraud. Learn how KYC-style identity verification — the same tech banks use — catches fake identities, deepfakes, and proxy interviews at a fraction of the cost.
Resume Lies, Fake References, and Ghost Employees: Traditional Candidate Fraud in the AI Age
While deepfakes grab headlines, resume lies, fake references, and ghost employees cost businesses $600B annually. Traditional hiring fraud remains the #1 threat — and AI is making it worse.
The North Korean IT Worker Threat: How State-Sponsored Fraud Infiltrated Fortune 500 Companies
Nearly every Fortune 500 company has unknowingly hired North Korean IT workers. Learn how this state-sponsored fraud operation works and how identity verification stops it.
Deepfake Candidates Are Here: How AI Is Fueling a New Wave of Hiring Fraud
AI deepfakes now let anyone become a fake job candidate in 70 minutes. Learn how voice cloning, real-time face swaps, and generative AI are breaking hiring — and how biometric liveness detection fights back.