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What is eFraud Investigator?

eFraud Investigator converts a variety of financial documents, including bank statements, credit card statements, and PDFs, into transaction data that meets legal standards, serving the requirements of forensic accountants, fraud investigators, lawyers, and governmental organizations. This innovative tool functions without templates, adeptly processing both scanned and digital documents from any financial institution while guaranteeing data accuracy. Each transaction undergoes thorough validation against the printed balances from the bank, incorporating running balances for each line and daily balance tables when relevant, which helps to illuminate any discrepancies that may occur. If reconciliation does not succeed, the software pinpoint specific transactions involved in the inconsistency. Users benefit from the ability to see the original PDF page next to the extracted data, enabling them to correct inaccuracies or add missed transactions, all modifications are recorded in a tamper-evident audit trail. The tool identifies different versions of counterparty names without automatically merging them, thus leaving it to the reviewer to decide on grouping, which maintains accountability and reversibility in the process. Furthermore, it monitors the movement of funds, uncovers patterns of structuring and round-dollar amounts, and has the capability to export verified data in Excel, PDF, and CSV formats. The service is offered at a rate of $0.75 per page, with a promotional deal allowing access to the first 50 pages free of charge and without requiring a credit card. In addition, the tool significantly boosts the efficiency and precision of financial investigations, rendering it an essential asset for professionals in this domain, ultimately contributing to more thorough and reliable analyses.

What is OneSpan Risk Analytics?

Bolster fraud prevention across diverse digital platforms by utilizing a dynamic solution that harnesses machine learning and advanced data modeling methodologies. Quickly address threats such as account takeovers, new account fraud, and mobile scams as they arise. By adopting intelligent automation and accurate risk assessment processes, you can significantly reduce the need for manual reviews and cut down on operational costs. Maintain compliance with regulations such as PSD2 by continuously monitoring transaction-related risks in real-time. Embrace a proactive approach to combat digital banking and mobile fraud by enhancing your existing fraud prevention strategies with OneSpan Risk Analytics. This cutting-edge tool rapidly analyzes vast amounts of data from mobile applications and transactions, facilitating the detection of both current and emerging fraudulent activities within online and mobile banking settings. By implementing this sophisticated strategy, organizations can stay one step ahead of fraudsters while simultaneously fortifying the overall security of their digital offerings. Furthermore, adopting this innovative technology not only enhances security but also builds customer trust in digital financial services.

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Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$0.75 per page
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

eFraud Services

Date Founded

2020

Company Location

United States

Company Website

efraudservices.com

Company Facts

Organization Name

OneSpan

Date Founded

1991

Company Location

United States

Company Website

www.onespan.com/products/risk-analytics

Categories and Features

Fraud Detection

Not specified

Categories and Features

Cyber Risk Management

Not specified

Fraud Detection

Not specified

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