Plaid Protect has introduced Ti2, the latest iteration of its Trust Index, designed to enhance fraud detection with advanced machine learning capabilities. Building on its predecessor, Ti2 utilizes twice the training data and incorporates bank account transaction history and user graph insights to identify sophisticated fraud patterns like synthetic identities, account takeovers, and coordinated attacks. These upgrades offer a more comprehensive view by analyzing transaction behaviors and network-wide user interactions, improving the detection of first-party fraud, money mules, and fraud rings previously difficult to spot. With significant success in retro analyses for various financial services, Ti2 demonstrates an ability to uncover a higher percentage of fraudulent activities compared to existing solutions. The ongoing evolution of the Trust Index aims to incorporate more sophisticated analytical tools, promising sharper fraud detection and proactive defenses in the future. Interested parties are encouraged to join the Ti2 beta or sign up for updates as Plaid Protect expands its availability.