RED OS compatibility with Smart Fraud Detection financial monitoring and anti-fraud system is confirmed

Russian IT companies Fuzzy Logic Labs and RED SOFT have confirmed the correctness of operation of Smart Fraud Detection - the anti-fraud system for remote banking channels - under RED operating system.

Smart Fraud Detection is a system detecting fraudulent transactions in retail and corporate remote banking, mobile and sms-banking, payment terminals and plastic card processing. It also verifies operations through IVR, monitors bank employees' actions, including the use of microphones and cameras. The product is registered in the Unified Register of Russian Software and Databases (#12259).

RED OS is a Russian Linux-like operating system for servers and workstations, which provides a universal environment for the use of application software. The product is certified by FSTEC of Russia (No. 4060 dated January 12, 2019), which confirms its compliance with information security requirements and allows its use in government information systems. RED OS is registered in the Unified Register of Russian Software and Databases (No. 3751).

Sergey Parfyonov, technical director of Fuzzy Logic Labs:

"In the course of compatibility testing, the following work was performed from our side:

- RED OS 7.3 distribution has been installed;

- Smart Fraud Detection application software was installed;

- Regression testing of Smart Fraud Detection functionality was performed.

The testing team confirmed compatibility and no errors were found.

We recommend our customers and partners to use RED OS for installation of Smart Fraud Detection software in their offices and remote banking channels".

Rustam Rustamov, Deputy RED SOFT CEO

"In present conditions the issue of protection of CII subjects becomes especially significant. Therefore, when developing the RED OS ecosystem we strongly emphasize compatibility with information security solutions. Smart Fraud Detection in RED OS environment will allow banking customers to secure financial processes and prevent fraud".