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Security and Risk Management
Signals and Anomalies
Signals and Anomalies
Comprehensive fraud alerts and anomaly checks align with KYC-compliant protocols
to reduce risk and prevent bad debt.
Every Application
Tells a Story
From mismatched addresses and unverifiable EFTs to irregular device fingerprints, fraud often hides in the details. With a platform designed to surface these warnings proactively, your team can catch what automation alone can’t — stopping risky applications before they become liabilities.
50+
Signals Checked
24/7
Real-Time Scans
4x
More Risk Caught
The Signals and Anomalies module acts as the behind-the-scenes intelligence layer of fraud prevention, analyzing every data point for hidden inconsistencies, suspicious patterns, and disqualifying details. From Tax ID mismatches and invalid banking credentials to OFAC hits and device-level exceptions, these checks are your first line of defense.
Not every red flag sets off alarms — but you should always be vigilant. Bectran’s fraud signaling engine inspects the foundational elements of every credit application in real time. This is done by cross-checking Tax IDs, business registrations, EFT details, and license credential against authoritative databases like Plaid, SOS registries, and OFAC lists.
Whether you’re screening a low-volume application or processing thousands each month, these signals close the gaps.
See Beyond the Surface
If fraud never stops evolving, so why should your defense system? The Fraud Document Validation Summary scrutinizes submitted files for signs of tampering, metadata inconsistencies, and verifies all pertinent details. Upon completion, the module assigns clear validity scores to each and every document.
Recent Report Monitoring
Understanding an applicant’s current standing requires context. Bectran’s Recent News Report feature utilizes AI to continuously scan top news sources for any mention of your customer’s business name, DBAs, and addresses. Acts as a dedicated, watchful analyst, this module ensures you’ll never miss critical developments that impact creditworthiness.
Use Case
A customer submitted a photoshopped remittance screenshot to fake a payment that was never made. Bectran’s validation engine flagged the document as tampered based on altered metadata — helping the credit team avoid approving an account based on false information.
Detect Fraud From Every Angle.
