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).
the-crucial-role-of-otp-in-preventing-sim-swap-fraud.png
Mar 06, 2026

The Crucial Role of OTP in Preventing SIM Swap Fraud

SIM swap fraud is a growing threat, allowing attackers to gain control of phone numbers and access sensitive accounts. One-Time Passwords (OTPs) play a vital role in securing these accounts, but their effectiveness depends on.

Read post
otp-vs-silent-network-phone-verification.png
Mar 06, 2026

OTP vs. Silent Network: Choosing Your Phone Verification Method

Selecting the right phone verification method is crucial for balancing security, user experience, and cost. While OTP remains popular, Silent Network verification offers enhanced security and a seamless user journey.

Read post
understanding-false-rejection-rates-frr-in-biometrics.png
Mar 06, 2026

Understanding False Rejection Rates (FRR) in Biometrics

False Rejection Rate (FRR) is a critical metric in biometric systems, measuring legitimate users incorrectly denied access. This blog explores FRR's impact on user experience and security, offering strategies to optimize it.

Read post
machine-to-machine-kyc-securing-autonomous-transactions.png
Mar 06, 2026

Machine-to-Machine KYC: Securing Autonomous Transactions

As the digital economy evolves, the need for robust Machine-to-Machine (M2M) Know Your Customer (KYC) processes becomes critical. This blog explores the challenges and solutions for verifying autonomous entities and securing M2M.

Read post
ai-ml-optimizing-fraud-signal-detection.png
Mar 06, 2026

AI & ML: Optimizing Fraud Signal Detection

Discover how AI and Machine Learning revolutionize fraud detection by identifying subtle patterns and enhancing real-time risk assessment. Learn about advanced techniques like behavioral biometrics and predictive analytics, and.

Read post
understanding-false-positives-negatives-fraud-detection.png
Mar 06, 2026

False Positives vs. Negatives in Fraud Detection

Understanding false positives and negatives is crucial for effective fraud detection. This post explores the impact of these errors, how they affect businesses, and strategies to minimize them, highlighting how AI-native.

Read post
Ask an AI to summarise this page