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Boost Security: SIM Swap Prevention with Phone Intelligence

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
1,465
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Summary

SIM swap fraud occurs when criminals persuade or exploit mobile carriers to transfer a victim’s phone number to a SIM card they control, allowing them to intercept calls and SMS-based two-factor authentication to access banking, email, and social media accounts. Preventing these attacks requires a layered approach using phone intelligence, including real-time HLR lookups to identify recent SIM changes, carrier ports, inactive numbers, or unexpected roaming activity, alongside device and behavioral signals such as IP location, device fingerprints, browser details, and interaction patterns. Businesses can apply these checks during onboarding, login, account recovery, password resets, and high-value transactions, escalating to stronger verification such as biometrics or app-based authentication when risks are detected. Didit presents its platform as a tool for combining HLR lookup, IP and device analysis, phone verification, fraud scoring, and customizable identity workflows to detect suspicious activity early, reduce fraud risk, and strengthen customer trust, while noting that phone intelligence is most effective when paired with broader security measures.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 7 13,979 3,441 296 +113%
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