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, and 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:

• Anti-Money Laundering and Counter-Terrorism Financing. Rules that initiate screening of the transaction counterparty against watchlists via the desired data provider. These rules let you uncover advanced AML cases requiring additional attention, including 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. These rules also let you detect red flags in your client's transactional patterns and behavior and disclose links to high-risk jurisdictions.
• 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.
• Basic onboarding. Rules that allow scoring onboarding applicants via the Sumsub SDK and calculating their risk level based on the specified threshold.
• 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.
• Device Intelligence. Rules that let you check the location and types of devices your applicants use to log in to your service.
• Travel rule. Rules that initiate Travel Rule checks and let you act on the results.
• Travel Rule: UK. Rules that validate the data and exchange requirements of Travel Rule in accordance with the UK’s requirements.
• Travel Rule: Dubai. Rules that validate the data and exchange requirements of Travel Rule in accordance with Dubai's requirements.
• Travel Rule: Hong Kong. Rules that validate the data and exchange requirements of Travel Rule in accordance with Hong Kong's requirements.
• Travel Rule: India. Rules that validate the data and exchange requirements of Travel Rule in accordance with India's requirements.
• Travel Rule: Indonesia. Rules that validate the data and exchange requirements of Travel Rule in accordance with Indonesia’s requirements.
• Travel Rule: Japan. Rules that validate the data and exchange requirements of Travel Rule in accordance with Japan's requirements.
• Travel Rule: Kazakhstan. Rules that validate the data and exchange requirements of Travel Rule in accordance with Kazakhstan’s requirements.
• Travel Rule: South Africa. Rules that validate the data and exchange requirements of Travel Rule in accordance with South Africa's requirements.
• Travel Rule: Turkey. Rules that validate the data and exchange requirements of Travel Rule in accordance with Turkey's requirements.
• FATF. Rules designed to ensure compliance with the FATF guidelines and requirements.
• Finance. Rules that allow processing and scoring financial transactions to meet regulatory requirements, prevent money laundering, and detect financial fraud.
• Fraud Network. Rules enabling Sumsub's AI engine to cluster applicants based on similarities in their behavior and perform specified actions on each cluster.
• Scoring. A rule that can combine different applicant assessment factors with respect to the 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.
• Fraud Prevention: Account Takeover. Rules that detect unauthorized access to legitimate user accounts based on unusual login patterns and device and behavioral changes.
• Fraud Prevention. Multi-Accounting. Rules that target the situation when a single user creates multiple accounts in order to abuse promotional offers and bonuses. Detection methods include applying device intelligence to identify suspicious behavior patterns in real time.
• Fraud Prevention. Account Takeover/Multi-Accounting (common). Rules that combine the detection of account takeovers with the identification of multi-accounting.
• Responsible gaming. Rules that promote safe and responsible gambling practices among users. They monitor player behavior to identify signs of problematic gambling and alert the players, suggesting self-exclusion, or limit their betting capabilities.
• Scoring Thresholds. Rules that establish specific criteria (score) for determining when an account or transaction should be flagged for review. If a score exceeds a predefined threshold, an alert for further investigation is triggered.

Configure and manage rules