Sanction screening checks individuals and entities against global watchlists to identify potential risks before onboarding or during ongoing monitoring. This helps organizations detect sanctioned or high-risk actors and ensures continuous regulatory compliance while reducing exposure to financial crime.

Digital footprint analysis evaluates customer data such as email, phone number, IP address, physical address, and online behavior signals. By combining enrichment data and social media insights, it generates a risk score that helps verify whether a customer is legitimate or potentially fraudulent.

AML transaction monitoring uses AI-driven algorithms to analyze large volumes of transactional data in real time. It detects unusual patterns that may indicate money laundering or other suspicious activities, allowing organizations to investigate and respond quickly to potential threats.

Link analysis maps relationships between customers, accounts, transactions, and devices to uncover hidden networks. It helps identify coordinated fraud or money laundering structures by revealing connections that would not be visible through isolated data review.