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Didit Raises $7.5M to Build the Infrastructure for Identity and Fraud
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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).
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Jan 24, 2026

Automate Trust: Composable Identity Primitives for Modern Verification

Discover how composable identity primitives are revolutionizing digital trust. Learn to automate verification workflows with modular building blocks.

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identity-verification-for-p2p-marketplaces.png
Jan 24, 2026

Identity Verification for P2P Marketplaces: Building Trust & Security

P2P marketplaces thrive on trust. Robust identity verification is essential to prevent fraud and build user confidence. Didit offers a modular, AI-native solution for seamless and secure identity checks, ensuring a safer.

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Jan 24, 2026

Fraud Prevention in the US: A Comprehensive Guide for Businesses

US businesses face rising fraud. This guide covers common types, prevention strategies, and compliance. Discover how Didit's AI-native identity platform helps automate trust and reduce risk with free Core KYC.

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kyc-requirements-for-nft-marketplaces.png
Jan 24, 2026

KYC Requirements for NFT Marketplaces: A Comprehensive Guide

Navigating KYC in the NFT space is complex. This guide breaks down requirements, why they matter, and how to implement them effectively. Discover how Didit's AI-native platform simplifies KYC, offering a modular, developer-first.

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new-york-dfs-cybersecurity-regulation.png
Jan 24, 2026

Navigating New York DFS Cybersecurity Regulation: A Comprehensive Guide

This guide breaks down the New York Department of Financial Services (DFS) cybersecurity regulation (23 NYCRR 500). Learn key requirements, practical implementation tips, and how Didit helps financial institutions achieve.

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Jan 24, 2026

How IP Analysis and Device Intelligence Prevent Fintech Fraud

IP analysis and device intelligence are crucial for preventing fraud in US fintech. They provide insights into user behavior and device characteristics, helping identify suspicious activity.

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