Year after year, cybercriminal fraud attempts increase, particularly supplier fraud (see Euler Hermes study here ).
Being able to make payments in complete security is essential for treasurers and, for this, protection requires regular cleaning of the supplier database (or cold cleaning), thanks to the support of applications managing shared coordinate repositories, such as that of Trustpair or SiS-id.
But this remains insufficient to reduce the treasurer's risk in his daily work.
This is why we have equipped our applications with automation and machine learning technologies to protect against fraud. Thanks to predictive analysis, you can control the validation criteria according to your payment habits (amount, country, etc.) and automate the splitting of erroneous payments according to the rules you have defined.
Universwiftnet workshop postponed
