Riskified Policy Protect uses machine learning to detect and prevent policy abuse in real-time by analyzing customer identities and behaviors across a global merchant network. It leverages a proprietary engine to form identity clusters from billions of accounts, transactions, and interactions, enabling merchants to optimize and personalize their policies while minimizing losses from policy-related abuses. The solution allows for tailored customer experiences and informed decision-making by providing identity-level insights and high-resolution visualization of customer data.
