Introducing the applicant-level fraud view: A holistic approach to fraud detection

Fraud often extends beyond individual documents, involving insights that can only be uncovered by analyzing inconsistencies across multiple documents, data sources, and even other applications. 

To address this challenge, we’re excited to introduce a new applicant-level fraud view — a powerful new feature that consolidates all risk signals associated with an applicant in one place, providing a holistic view of their overall risk profile. Check it out in this walk through from Staff Product Designer, Patrick Cusack:

Why an applicant-level fraud view matters

Fraudsters are getting more sophisticated, often submitting multiple fraudulent documents across different applications. While analyzing individual documents is essential, it’s just as important to connect the dots between applications and documents to uncover broader patterns of fraud.

The new applicant-level fraud view helps fraud teams:

• Assess risk holistically by analyzing both document-level and applicant-level signals.
• Identify repeat fraudsters by linking previous fraudulent applications.
• Save time by streamlining investigations with all risk signals in one place.
• Enhance decision-making with AI-driven insights that summarize key fraud indicators.
• Strengthen fraud prevention strategies by uncovering hidden patterns across multiple applicants.

Key benefits of an applicant-level view

1. A unified risk score

Rather than analyzing documents in isolation, the Applicant-Level Fraud view generates an overall risk score based on patterns detected across all submitted documents. This provides a more accurate assessment of an applicant’s risk.

2. Cross-document insights

Traditional fraud detection tools only flag issues within individual documents. Inscribe’s new applicant-level fraud view goes beyond this by identifying discrepancies across multiple documents and applications, allowing fraud teams to detect fraud rings and repeated attempts to bypass security checks.

3. AI-powered analysis for smarter decision-making

With AI-driven fraud detection, this feature surfaces key risk factors and patterns, making it easier and faster for fraud teams to focus on high-risk cases without manually sifting through extensive documentation.

4. Visibility into repeat offenders

By linking past fraudulent applications with newly submitted documents, this feature enables fraud teams to detect applicants with a history of fraudulent activity—even when they attempt to disguise their identity with slight variations.

Elevating fraud detection with applicant-level intelligence

The Applicant-Level Fraud view is designed to empower fraud teams with deeper, more strategic insights that go beyond document-level analysis. By consolidating applicant risk signals into a single view, financial institutions can proactively detect and prevent complex fraud schemes that might otherwise slip through the cracks.

Ready to get started? If you’re an existing user, simply upload your documents and navigate to the fraud view to explore more. For a personalized demo or to learn more, contact our team today!

‍