The era of outdated transactional security systems is over

By Ricardo Villadiego, Vice President of Security for Cyxtera

 
The number of online transactions increases every day, giving criminals more opportunities to take advantage of users. Old, less flexible and rule-based technologies generate more operating costs and are less accurate, causing friction with the end user and increasing the risk of fraud. But do not need be like that.
 
Combining heuristic analysis, machine learning and artificial intelligence, it is possible to achieve the necessary flexibility to adapt to a constantly changing fraud scenario, creating a simplified process, with less costs for the company and a better experience for users.
 
A behavior analysis system with wide coverage provides visibility on the actions carried out in different channels. Advanced artificial intelligence and machine learning technologies help institutions to provide a high level of accuracy in monitoring transactions. In this way, it is possible to improve the identification of fraudulent and legitimate transactions and attempts to login unusual devices, in addition to facilitating the detection of known and new fraud patterns.
 
In this way, companies are able to seamlessly complement legacy transaction monitoring systems to protect customers with real-time detection. This fact proves that the era of outdated transactional security systems, which were easily overcome by cybercriminals, is over. With this type of technology, companies can rest assured knowing that each transaction will be smart, convenient and secure.

 Disclaimer: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies.