#KYC and AML
Articles about KYC and AML — exploring patterns, best practices, and real-world implementations in production systems.
12 posts tagged with kyc and aml. ← All posts
Turning geography, product, channel, and behavior into a single defensible number — and a due-diligence tier a regulator can follow.
Building a customer risk-rating model: risk factors, weighting, thresholds to due-diligence tiers, and explainability for regulators.
Retiring the calendar-driven refresh and rebuilding customer due diligence as an event-driven state machine with regulator-grade audit evidence.
Moving from periodic review to event-driven pKYC: trigger events, risk re-scoring, refresh workflows, and audit evidence.
Cluster and risk-score blockchain addresses for on-chain AML and sanctions exposure.
Cluster and risk-score blockchain addresses for on-chain AML and sanctions exposure.
A document and liveness pipeline that emits a graded pass, refer, or fail instead of a coin-flip yes/no.
Build a document + liveness/biometric identity-verification pipeline that returns a graded decision.
Turn AML alerts into investigated cases and filed SAR/STR reports, complementing rule-based monitoring.
Turn AML alerts into investigated cases and filed SAR/STR reports, complementing rule-based monitoring.
Typology rules, sliding-window aggregation, alert scoring, and case management that feeds STR/SAR filing — treated as a streaming systems problem, not a compliance checkbox.
Teaches how to build AML transaction monitoring: typology rules (structuring, rapid movement, layering), sliding-window aggregation, alert scoring and deduplication, and case management feeding STR/SAR filing.
How to exchange originator and beneficiary data between crypto services before a transfer settles: counterparty discovery, IVMS101 payloads, and pre-transfer verification that gates the on-chain send.
Teaches how to implement the FATF Travel Rule between VASPs: originator/beneficiary PII exchange protocols (IVMS101, TRP/OpenVASP), counterparty VASP discovery, and pre-transfer verification before on-chain send.
Model corporate ownership as a graph, propagate percentages through the chains, handle the cycles that break naive traversal, and surface every natural person who controls more than 25 percent — with the evidence path attached.
Teaches how to compute ultimate beneficial ownership: modeling ownership as a graph, percentage-through-chain calculation, control vs ownership thresholds, and cycle handling to surface >25% beneficial owners.
How to ingest watchlists, match names across scripts and spellings, and turn a fuzzy score into an auditable clear, alert, or block.
Teaches how to build sanctions/watchlist screening: list ingestion (OFAC/UN/EU), transliteration and fuzzy name matching, scoring thresholds, whitelisting, and rescreening on list deltas to control false positives.
Borrower onboarding is the most fraud-prone moment in a P2P platform. The shape that worked: deterministic KYC, parallel bureau pulls with fallback, real-time fraud signals, and a maker-checker approval for every disbursement.
PAN check-digit validation, Aadhaar offline KYC, DigiLocker, PEP/sanctions — all in Go code, not in a prompt. The LLM's job is to translate the verdict into something a human can read.
Two KYC pathways an Indian fintech has to support. The Master Direction (Video KYC, etc.) and Aadhaar Offline KYC. Different speeds, different evidence requirements, different audit shapes.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.