Latest from the Didit blog.
Threat Detection Automation: Architectures & Best Practices
Automating threat detection is critical in today’s evolving cybersecurity landscape. This post explores architectures, detection engineering, and risk policy automation for enhanced security.
Defending Against AI: Biometric Replication & Deepfake Threats
Generative AI poses escalating threats to digital identity, including biometric replication and deepfake attacks. This guide explores these vulnerabilities, detection methods, and how Didit provides robust defenses.
Null-Route Detection: Advanced Fraud & Bot Prevention
Null-route detection is a powerful technique for identifying and blocking malicious traffic, including bots and fraudulent activity. This post explores how it works, its benefits, and how Didit leverages it for robust fraud.
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.