The trusted alternative to mass market instant messaging solutions
Boost communication by inviting thousands of members in dedicated chat rooms!
Cryptobox provides businesses and organizations with a sharing and collaboration solution to secure internal and external exchanges, using end-to-end encryption.
Cryptobox is the first secure sharing and collaboration solution to provide end-to-end data encryption, whether your device is a smartphone or a computer.
The digital transformation affects all businesses and organizations, from the smallest to the largest. This transformation brought about by technological developments offers many benefits:
To meet the new challenges of mobility and remote work, Ercom has developed Cryptosmart PC, a sovereign VPN solution to secure the connections of your remote Windows computers.
Cryptosmart is the only “Restricted” French & NATO certified solution, jointly developed with Samsung, to secure end-to-end mobile communications on consumer devices.
Cybels Hub DR, the first "Restricted" level accredited cloud solution to help inter-entity collaboration in a secure environment with partners! Collaborate in voice or videoconferencing, exchange data with your partners, all at the "Restricted Distribution" level, on a cloud operated and secured by Thales.
Posted 1 mars 2018
Interpretability: the missing link in Machine Learning adoption for fraud detection
Machine learning methods are increasingly used, especially in anti-fraud products (developed by Ercom Analytics and other vendors) to capture weak signals and spot patterns in data that humans would otherwise miss.
If the relevance of these methods for fraud detection is widely recognized, they are still mistrusted in certain industries such as banking, insurance or healthcare, due to their black box nature. The decisions made by a predictive model can be difficult to interpret by a business analyst, in part because the complexity behind of the calculations and the lack of transparency in the “recipe” that was used to produce the final output. Therefore, it seems quite understandable that an analyst having to make an important decision, for example granting a credit application or refusing the reimbursement of healthcare expenses, is reluctant to automatically apply the predictive model output without understanding the underlying reasons…
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