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Developer's Guide to Dynamic Sanctions Screening with Didit

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
1,252
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Summary

Didit’s AML Screening platform is presented as a tool for dynamic sanctions screening that combines real-time webhooks, continuous daily monitoring, and configurable risk assessment to help organizations respond quickly to changing compliance risks. It screens users against more than 1,300 sanctions, politically exposed person, and watchlist databases, using Match Scores to assess identity confidence and Risk Scores to determine outcomes such as Approved, In Review, or Declined. Azure Functions can process Didit webhook notifications through scalable, event-driven serverless workflows, enabling automated actions such as updating customer records, alerting compliance teams, blocking users, or initiating manual reviews when statuses change. The approach emphasizes the limits of static or batch-based screening in a rapidly changing regulatory environment and recommends secure endpoint validation, idempotent processing, error handling, logging, monitoring, and configurable thresholds. Didit also offers APIs, a no-code Business Console, modular workflows, a free core KYC tier, and pay-per-successful-check pricing to support implementation across organizations of different sizes.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 6 13,979 3,441 296 +113%
Serverless 3 1,341 270 110 +29%
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