AI Fraud Prevention

AI Fraud Detection & Prevention

Detect document fraud, identity theft, income misrepresentation, and wire fraud in real-time — before bad loans enter your pipeline.

98%
Detection Rate
<2%
False Positives
Real-time
Detection
6
Fraud Types

Multi-Layer Fraud Detection

Document Fraud

Detect altered, fabricated, and manipulated documents using pixel-level analysis and metadata forensics

Identity Fraud

Identify synthetic identities, stolen credentials, and straw buyer schemes through pattern analysis

Income Misrepresentation

Cross-reference income claims against tax records, bank deposits, and employment verification data

Wire Fraud

Real-time wire instruction monitoring, BEC detection, routing verification, and dual approval enforcement

Defense in Depth

Multiple layers of fraud detection working together to catch what single-point solutions miss.

Document forensics: metadata analysis, font consistency, pixel manipulation detection
Data cross-referencing: income vs. deposits vs. tax records vs. employment
Behavioral analysis: application patterns, timing anomalies, velocity checks
Network analysis: connections between applicants, properties, and professionals
Real-time alerts: immediate notification of high-risk findings with evidence

Integration Partners

MERS fraud databases
LexisNexis identity verification
CoreLogic property data
FBI mortgage fraud databases
FinCEN SARs integration
Internal watchlists and exclusion lists
Title fraud detection networks
Wire verification services
FAQ

Fraud Detection FAQ

Common questions about AI-powered fraud prevention

What types of mortgage fraud does the AI detect?

Our AI detects document fraud (altered/fabricated documents), identity fraud (synthetic identities, stolen identities), income misrepresentation (inflated income, undisclosed liabilities), occupancy fraud (investment properties claimed as primary), wire fraud (misdirected funds, BEC attacks), and straw buyer schemes.

How does document fraud detection work?

The AI analyzes document metadata, font consistency, image manipulation artifacts, and pixel-level patterns to detect alterations. It also cross-references data across documents — matching employer info on pay stubs against tax returns, bank deposit amounts against stated income, and property details across the file.

What is the false positive rate?

Our AI achieves a false positive rate below 2% through multi-layered analysis. Rather than flagging every anomaly, the system evaluates findings in context — a minor discrepancy in one document is different from coordinated inconsistencies across multiple documents. This keeps your team focused on real threats.

How does the system prevent wire fraud?

Wire fraud prevention includes real-time monitoring of wire instruction changes, verification of routing numbers against known bank databases, detection of business email compromise patterns, dual approval enforcement for high-value transfers, and secure communication channels for wire detail exchange.

Can it integrate with our existing fraud prevention tools?

Yes. The platform integrates with existing fraud databases (MERS, LexisNexis, CoreLogic), identity verification services, and your internal watchlists. It can also receive and send alerts through your existing case management and compliance tracking systems.

Ready to Stop Fraud Before It Starts?

Protect your pipeline with AI that catches what manual review misses.