Skip to main content
Didit Raises $7.5M to Build the Infrastructure for Identity and Fraud
Didit
From the team

Latest from the Didit blog.

Identity, fraud, and the math behind public per-module pricing. Product launches, research, and standards (eIDAS 2.0, MiCA, AMLD6).
frankenstein-identities-network-analysis.png
Mar 25, 2026

Frankenstein Identities & Network Analysis

Learn how 'Frankenstein identities' – synthetic identities built from fragments of real data – are fueling identity fraud and how network analysis with graph databases can combat them.

Read post
future-verification-evolving-digital-id.png
Mar 25, 2026

Future Verification: The Evolution of Digital ID

Explore how digital identity verification is evolving beyond passwords, embracing multi-bio security, and modular identification for a more secure and user-friendly future.

Read post
open-banking-identity-api-kyc.png
Mar 25, 2026

Open Banking Identity: Secure Access with API & KYC

Open banking relies on secure identity verification. This guide explores how to leverage APIs for resilient KYC, mitigate fraud, and ensure compliance in open banking ecosystems. Learn how to integrate accounts securely.

Read post
regex-for-email-validation.png
Mar 25, 2026

Regex for Email Validation: Best Practices & Fraud Prevention

Learn how to effectively validate email addresses using regular expressions to prevent fraud and improve data quality. Explore best practices, common pitfalls, and security app integration strategies.

Read post
cost-of-identity-verification.png
Mar 25, 2026

Identity Verification Costs: A 2024 Breakdown

Understanding the true cost of identity verification is crucial for businesses. This guide breaks down direct expenses, hidden costs like manual reviews, and how to optimize your identity strategy for ROI.

Read post
remote-identity-verification-minimal-risk-architecture.png
Mar 25, 2026

Remote Identity Verification: A Minimal Risk Architecture

Building a secure remote identity verification system requires a layered approach. This guide explores a minimal risk architecture leveraging zero-knowledge proofs, biometric authentication, and fraud detection to minimize data.

Read post
Ask an AI to summarise this page