First American Unveils New Fraud Tools
October 22, 2015
First American Financial Corp. integrated its DataTree property research solution with the FraudGuard loan-level fraud detection and data integrity tool to help lenders investigate potential fraud and loan quality issues.
The integration was launched in conjunction with First American’s FraudGuard Property Overview, a next-generation collateral risk analysis component that further promotes superior loan quality.
Lenders relying on FraudGuard alerts to identify potential collateral, ownership and borrower issues will particularly benefit from the DataTree integration, according to First American. With this targeted approach to research, issues such as undisclosed properties and liens, signature fraud and real estate owned (REO) assets can now be addressed more efficiently and with more certainty.
"The integration of two powerful First American solutions in FraudGuard and DataTree is the one-two punch lenders require for exhaustive collateral valuation assessment and property research," said Kevin Wall, president of First American Mortgage Solutions. "The additional enhancement of the FraudGuard Property Overview component will enable end-to-end fraud detection, thereby contributing to a more robust and efficient mortgage origination workflow."
Designed in collaboration with clients to better pinpoint sources of subject property risk, the new FraudGuard Property Overview is backed by First American’s public and proprietary data sources and includes: a market-leading Automated Valuation Module (AVM), full subject property overview, complete transaction history, relevant sales comparisons, local distressed property analysis, competitive market area analysis, and interactive graphs and maps. Data is integrated into 30 new FraudGuard alerts related to property and collateral that isolate potential risks and provide actionable recommendations on how best to address the warnings. Advanced alerts can also be customized to augment users’ collateral assessment and appraisal review protocols.
Contact ALTA at 202-296-3671 or [email protected].