Rules are basically sets of instructions and conditions to be considered during monitoring. Every time a transaction is being made, the enabled rules are automatically applied to determine whether the transaction matches the rule parameters.

The solution already comes up with the pre-configured rules explained below.

You can also create custom rules to cover business scenarios that are specific for your organization.

Ready-to-use rule bundles

Discover 300+ pre-built rules customized for different industries like fintech, traditional finance, crypto, e-commerce, and iGaming:

AML Watchlist. Rules that initiate the transaction counterparty’s screening against watchlists via the desired provider.
AML Watchlist Advanced. Rules that let you detect advanced AML cases requiring additional attention. These include transactions to sanctioned banks and individuals, money laundering instructions, and suspicious wording in the transaction's payment reference related to potential sexual abuse, drug trafficking, or terrorism financing.
Money Laundering. Rules that let you detect money laundering patterns such as repeated transactions within the same time frame.
Crypto Monitoring - Crystal Intelligence. Rules that initiate screening of wallet addresses or blockchain transactions through Crystal Intelligence and provide a risk score or a set of signals and exposures that allow the evaluation of the risk associated with the target entity.
Crypto Monitoring - Chainalysis. Rules that initiate screening of wallet addresses or blockchain transactions through Chainalysis (using your unique Chainalysis configuration and key) and provide a risk score or a set of signals and exposures that allow the evaluation of the risk associated with the target entity.
Travel rule. Rules that initiate Travel Rule checks and let you act on the results.
Travel Rule - UK Starter Pack. A core framework designed to help you meet the UK’s complex travel rule requirements.
Scoring. A rule that can combine different applicant assessment factors with respect to weight of each score and calculate the total risk score for easier evaluation. Example: The risk matrix has two assessment factors: AML with a score of 15, weight 70% and Geo with a score of 40, weight 10%. In this case, the rule can calculate the total assessment score — Total Risk = AML 70% + Geo 10% = 10.5 + 4 = 14.5.
iGaming Bonus Abuse. Rules designed to detect various types of bonus abuse by identifying and flagging behavior related to multi-accounting, minimal risk betting, bot use, reverse betting, syndicate betting, and so on.
Anomaly Detection. Rules enabling Sumsub's AI engine to automatically detect suspicious transaction patterns based on 600+ ready schemes and provide you with a detailed explanation for each alert.
Fraud Network. Rules enabling Sumsub's AI engine to cluster applicants based on similarities in their behavior and perform specified actions on each cluster.
Responsible Gambling. Rules that utilize a two-fold set checks to help you stay compliant, meet licensing requirements for regulated markets (deposit limits and database checks) as well as ensure players are gambling responsibly and within their means.
User Platform Events. Rules designed to prevent fraud by scoring user actions (signup, login, password reset, changing payment method, and so on) that could be performed via API.
Basic onboarding. Rules that allow scoring onboarding applicants via Sumsub SDK and calculating their risk level based on the specified threshold.
Finance. Rules that allow processing and scoring financial transactions to meet regulatory requirements, prevent money laundering, and detect financial fraud.
FATF. Rules designed to ensure compliance with the FATF guidelines and requirements.
Device Intelligence. Rules that let you check the location and types of devices your applicants use to log in to your service.