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Know Your Transaction (KYT)

Overview

KYT evaluates individual transactions and patternsfor AML/fraud risk using rules, machine-learning models, and contextual enrichments. Signals include counterparties, geographies, amounts, velocity, beneficiary risk, device/IP intel, and links to prior alerts.
KYT complements KYC by focusing on the behavior of funds after onboarding, enabling timely interdiction and meaningful SAR narratives. Programs should combine real-time blocking with post-event analytics, tune scenarios against typologies, and measure precision/recall and alert aging. For crypto/VASP contexts, KYT adds on-chain heuristics (mixers, darknet exposure) and Travel Rule compliance. Strong KYT integrates with case management, graph analytics, and remediation workflows to close the loop from alert to outcome.

FAQ

How is KYT different from KYC?

KYC assesses who the customer is; KYT scrutinizes what they do each transaction’s risk and evolving patterns over time.

What makes KYT effective?

High-quality enrichments, adaptive thresholds, and feedback loops that learn from confirmed cases to reduce noise.

Should KYT be real-time?

For high-risk corridors, yes combine instant checks with retrospective models to capture complex schemes.

How is crypto KYT unique?

On-chain analytics (entity clustering, exposure scoring) and Travel Rule data exchange are essential.