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Passive Liveness API: Combating Fraud in Brazil

Blog post from Didit

Aggregate trend data notice

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Post Details
Company
Date Published
Author
Didit
Word Count
870
Company Posts That Month
508
Language
English
Hacker News Points
-
Post removed?
No
Summary

Brazil faces a rising threat of fraud as cybercriminals employ sophisticated techniques like deepfakes and presentation attacks, particularly affecting sectors such as fintech, e-commerce, and banking. Traditional security measures are insufficient, prompting the need for advanced strategies like Passive Liveness Detection, which verifies user identity without requiring specific actions, thereby offering a seamless experience and reducing fraud. This technology uses biometric indicators and machine learning to distinguish between real users and sophisticated fakes, improving security and user experience while lowering operational costs. In response, companies like Didit offer AI-native Passive Liveness Detection solutions that integrate easily with existing systems, ensuring high accuracy, compliance with data privacy regulations, and adaptability to specific business needs, thereby empowering Brazilian businesses to effectively address fraud and maintain a secure digital environment.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 3 6,429 1,407 265 -24%
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