--- title: Fraud Investigations Across Customers, Devices, and Payments source_page: https://www.sardine.ai/fraud-investigator canonical: https://www.sardine.ai/fraud-investigator format: text/markdown description: Siloed data makes coordinated abuse harder to spot and stop. Uncover hidden links, trace suspicious activity, and investigate fraud with full context.. --- **Quick links:** [Human page](https://www.sardine.ai/fraud-investigator) · [Home](https://www.sardine.ai) · [Customers](https://www.sardine.ai/customers) · [Blog](https://www.sardine.ai/blog) · [Demo](https://www.sardine.ai/demo) --- # Fraud Investigations Across Customers, Devices, and Payments Siloed data makes coordinated abuse harder to spot and stop. Uncover hidden links, trace suspicious activity, and investigate fraud with full context.. ## Reveal hidden risk
across your ecosystem Investigate fraud with full context across customers, devices, transactions, and businesses. Visualize relationships, analyze activity, and uncover coordinated abuse from a single workspace. ## See risk as a connected system Fraud rarely happens in isolation. Sardine’s investigation tools bring together transaction data, device signals, identities, and network intelligence so your team can analyze risk in context. Visualize relationships, explore customer activity, uncover coordinated abuse, and generate clear investigation insights from a single workspace. ### See how customer risk propagates Link customers across identities and accounts to reveal hidden relationships and systemic exposure that influence risk scores. ### Visualize ownership and control Map businesses, UBOs, and related entities to surface indirect exposure and complex structures that traditional reviews miss. ### Unravel coordinated abuse networks Connect accounts, devices, payments, domains, and behavior to detect organized fraud rings and coordinated abuse. ### Expose hidden merchant relationships Link merchants, domains, transactions, and entities to flag coordinated risk, transaction laundering, and shared infrastructure. ## Portfolio-wide visibility into connected risk ### Habitasse porta tortor at sed blandit mauris tempor. Ut sollicitudin et tristique est turpis viverra est diam diam. Neque arcu sit elit et. Leo id nisl a nullam. Lacus fusce aliquet facilisi morbi mauris nec ut vitae eros. Feature label ### A deep view of
customer risk Explore customer activity across onboarding, login, and payments in a single view. Analyze transactions, session behavior, device intelligence, and risk signals to quickly understand context and investigate suspicious activity. Dashboard ### Habitasse porta tortor at sed blandit mauris tempor. Ut sollicitudin et tristique est turpis viverra est diam diam. Neque arcu sit elit et. Leo id nisl a nullam. Lacus fusce aliquet facilisi morbi mauris nec ut vitae eros. Feature label ### Analytics and performance Analyze risk distribution, trends over time, payment-type risk, detected anomalies, high-risk events, and rule performance to understand what’s driving fraud and how controls are performing. Reporting ## Connect risk across your portfolio ### Device & behavior Adaptive device and behavioral signals to detect fraud, bots, and account takeover earlier. ### Data consortium Network intelligence from 6.5B+ devices and cross-platform fraud signals. ### AI agents AI agents that automate fraud detection, investigation, and decisioning workflows. ### Case management Investigate alerts, collaborate with teams, and resolve fraud cases faster. ### Machine learning Adaptive models that continuously improve fincrime detection accuracy. ### Rules & workflows Build flexible rules and automated workflows.
 ## Featured resources