Year after year, attempts at cybercrime fraud are increasing, particularly supplier fraud (see Euler Hermes study here ).
Being able to make payments securely is paramount for treasurers and, for this, protection involves regular cleaning of the supplier database (or cold cleaning), thanks to the support of applications managing shared contact repositories, such as Trustpair or SiS-id.
But this is still insufficient to reduce the risk to the treasurer in their daily work. That's why we've equipped our applications with automation and machine learning technologies to protect against fraud.
Thanks to predictive analytics, you can control validation criteria based on your payment habits (amount, country, etc.) and automate the allocation of erroneous payments according to the rules you define.
Universwiftnet workshop postponed
