fraud detection

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Systemise anti-fraud controls: A major challenge

Digital uses are now the norm and the benefits to be gained by organisations are considerable: acceleration of transactions, automation or do-it-yourself approaches favour a rapid ROI. However, the digitalisation of documents and their attachments is fundamental for all processes, and easy access to image retouching tools, also simplifies their falsification.

As a result setting standardised digital processes for fraud, is becoming a strategic challenge for companies seeking to simplify their customer and supplier relations while avoiding the malicious behavior that can be costly for companies (both financially and concerning brand image). For example, healthcare fraud, which has been estimated at 12.7£ billion by the European Healthcare Fraud & Corruption Network.

This is why any project of digitalisation and automation of processes can no longer be considered independently of a powerful system of automatic fraud detection.

Having a platform integrating both the omnichannel capture of all your documents, and the automation of processes based on BPM, plus the detection of document fraud is the only way to systemise anti-fraud checks and catch them in the early stages, even before they are integrated into any business process. You gain in efficiency and in serenity!

Capturing transactions in omnichannel mode with electronic signatures

UGIPS Gestion, a subsidiary of the AXA Group, relies on ITESOFT for optimising the stream of customer transactions via paper mail, email and a web portal. Improvements in productivity, customer satisfaction and process traceability are ensured.

Digitalising and automating our customer processes represented a cultural revolution for which ITESOFT has been very helpful

Eric Boudet, IT Manager, Member of the Management Committee

Document Verification: Complementary analysis methods

Document fraud is an intentional act designed to obtain a financial advantage or an undue service. There are several types of approaches: modifying authentic documents to misrepresent information (by withdrawal, addition, modification of content) or creating false documents. To be as efficient as possible, fraud detection must combine several complementary analysis methods, which together allow an optimal appreciation of the authenticity of the elements.

Graphometric image analysis is an innovative technology that enables the detection of copy-paste, deletion or addition of content in an image. On the basis of structural and frequency analysis, it reveals ballistic traces: suspicious zones that are too perfect or too identical or different from the rest of the content.

The metadata analysis of a PDF file, for example, detects the presence or absence of certain elements in the information or structure. The content itself, obtained by OCR reading / barcode / DataMatrix can be compared with repositories such as open data (eg Finess number, RPPS, CCAM, LPP) or validated by a call to a web service (government tax services, partner companies). More and more documents, with the support of public authorities (ANTS), incorporate advanced security solutions such as 2D-DOC, which is virtually unalterable and standardised. Finally, where possible, internal consistencies on items such as dates, number of pages, invoice number or amounts may present anomalies.

By automating all these controls, an objective measure of the level of reliability is obtained, as well as the addition of rich information (verified elements, suspicious or anomalies) that provide valuable support for decisions.

Electronic signature: Simple, skilled or on the fly

All organisations aim to eliminate the exchange of paper documents with their clients. This digitisation of processes cannot be approached without addressing the subject of electronic signatures.

An online subscription process usually requires the signature of one or more contractual documents. However, at this stage, proposing a handwritten signature on paper documents to be sent back by mail significantly extends the length of the sale and risks a high drop-out rate. The use of an electronic signature significantly increases the conversion rate.

A signature is based on a digital certificate issued by a Certification Authority (CA). The latter may issue a “simple”, “advanced” or “qualified” electronic signature. Only a qualified signature can claim the same legal value as a handwritten signature, but it requires a face-to-face verification of the signatory identity, which considerably complicates the online customer experience. An increasingly popular strategy in online sales is to implement a “simple” or “advanced” signature with a certificate generated on the fly.

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