Latest news
Articles
Practical experience of using AI in recognizing fraud in the stock market,
futures and currency markets
The article describes a case of creating an automated anti-fraud system, which includes about 150 algorithms for recognizing suspicious scenarios. Artificial intelligence was used to fine-tune the algorithms, as well as to solve other project tasks. What problems did you encounter? In what anti-fraud tasks did artificial intelligence show the greatest efficiency?
Internal control in a credit institution
Automation of monitoring of suspicious transactions during brokerage services for bank clients in financial markets.
Credit institutions around the world and in Russia are increasingly using specialized systems for automated pattern recognition of suspicious transactions in the stock, futures and currency markets. Which bank divisions can [...]
CIS-AUTRETECH-2021
From a generally accepted point of view, an “incident” is considered to be simply a misunderstanding, an unpleasant occurrence, even a “collision”. What is an incident according to your terminology?
In the terminology of our system's user manual, an incident is a client's activity (a combination of orders/transactions linked to time, market data, news background), which can be interpreted by a court […]
CIS-AUTRETECH-2019
What caused the need for this product?
The main reason is the tightening of requirements by regulators around the world to increase the transparency of banking operations. These are not just words, these are the amounts of gigantic fines. Over the past 7 years, the amounts of these fines paid by banks in the US and Europe have exceeded 320 billion US dollars. And this is a trend that will not end in a couple of years. The response to these colossal amounts of fines was the emergence in 2015 of […]
