Anti-fraud solution Jet Detective combines Hadoop, AI and big data

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The company "Infosystems Jet" announced the release of the Jet Detective system, designed to combat fraud.

According to Alexey Grishin, Director of the Company's Information Security Center, the new system is based on machine learning, artificial intelligence, and big data processing technologies. The developers used the Apache Hadoop software platform, which can be implemented on any computer architecture and allows for linear scaling of the computing power of systems built on it.

Infosystems Jet claims that the rejection (thanks to the Hadoop platform) of relational DBMS and the undemanding nature of server performance (thanks to it) allow the total costs of the Jet Detective system to be reduced by approximately 40% compared to antifraud systems with traditional architectures.

Evgeny Kolesnikov, Head of Big Data and Machine Learning at the albania whatsapp data Jet Software Solutions Center, emphasized that the use of the Predictive Model Markup Language (PMML) in creating the Jet Detective system is innovative for online antifraud systems. PMML, as he noted, along with integration flexibility in relation to data sources, allows the user to independently adjust the initial version of the model in accordance with changes inside and outside the customer company.

According to Evgeny Kolesnikov, the company's specialists have built a mathematical factory that, depending on the input data, selects those algorithms and processing methods, the combination of which gives the best result for a given specific case.