Question 1

How does TruthScan integrate with existing core banking systems?

Accepted Answer

TruthScan provides REST APIs that integrate seamlessly with existing financial systems and workflows. Our integration team ensures minimal disruption while delivering real-time fraud detection capabilities.

Question 2

What regulatory compliance standards does TruthScan meet for financial institutions?

Accepted Answer

TruthScan implements security controls aligned with SOC 2 Type II frameworks, supports GDPR-compliant processing workflows, and includes features designed to help customers address PCI DSS, FFIEC, and GLBA requirements. The platform provides audit trails and compliance reporting capabilities to assist with regulatory examinations.

Question 3

How quickly can we detect AI-generated fraud in live transactions?

Accepted Answer

TruthScan is designed for low-latency detection (often ≤100 ms in internal benchmarks), configurable per deployment to balance speed and accuracy for real-time decision making during account openings, loan applications, and high-value transactions.

Question 4

What ROI can we expect from implementing TruthScan's fraud detection?

Accepted Answer

Customers have reported strong ROI in case studies through prevented fraud losses, reduced manual review, and efficiency gains (results vary by institution and deployment). ROI depends on fraud volume, operational scale, and integration approach.

Question 5

How does TruthScan handle false positives in fraud detection?

Accepted Answer

Our machine learning models are specifically trained for financial use cases. Models target high precision/recall; actual accuracy and false-positive rates vary by use case, data quality, and configured thresholds. The system includes configurable confidence thresholds and human-in-the-loop workflows for edge cases.

Question 6

Can TruthScan detect synthetic identity fraud in loan applications?

Accepted Answer

Yes, TruthScan's advanced AI detection can identify synthetic identities created using AI-generated photos, fake social security numbers, and fabricated employment histories. Our system analyzes document consistency, image authenticity, and data patterns to flag synthetic identity attempts.

Question 7

How does TruthScan support anti-money laundering (AML) compliance?

Accepted Answer

TruthScan integrates with AML workflows by detecting AI-generated KYC documents, fake business registrations, and synthetic customer profiles. Our platform provides detailed audit trails and risk scoring that support BSA/AML compliance reporting requirements.

Question 8

What is the implementation timeline for enterprise banking integration?

Accepted Answer

Typical enterprise implementations take 4-8 weeks including API integration, security reviews, user training, and gradual rollout. Our dedicated banking implementation team ensures minimal disruption to existing operations and provides 24/7 support during transition.

Question 9

How does TruthScan protect against AI-generated business email compromise (BEC)?

Accepted Answer

TruthScan analyzes email content, attachments, and communication patterns to detect AI-generated BEC attempts targeting wire transfers, vendor payments, and executive impersonation. Real-time alerts help prevent fraudulent fund transfers before they occur.

Question 10

Does TruthScan provide industry benchmarking for fraud detection performance?

Accepted Answer

Yes, TruthScan provides quarterly industry reports showing your institution's fraud detection performance compared to peer banks of similar size and risk profile. This helps demonstrate ROI to board members and supports risk management strategy decisions.

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