Banksealer, in collaboration with Politecnico di Milano, has developed artificial intelligence and machine learning algorithms that allow to identify fraudulent activities. These algorithms can be applied in various contexts, from home banking payments and access to warehouse handling.
Banksealer offers anti-fraud solutions, both on-premise and cloud . It can be easly integrated with existing systems in order to get data to analyze.
The collaboration with Politecnico di Milano has led to the development of algorithms that minimize false positives, reducing the effort required by fraud analysis.
Unlike most artificial intelligence anti-fraud products, which only give a positive or negative answer, Banksealer is designed to motivate each report clearly and in detail.
Banksealer can be easily integrated with existing systems. Many integrations with commonly used systems are already available. Despite using complex algorithms, Banksealer has no particular infrastructure requirements and can be easily integrated into business processes.
Banksealer's algorithms are designed to work on various types of operations such as transactions, logins and goods movements. The algorithms can be easily tuned in order to maximize their effectiveness in all use cases.
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Michele Mariella - SMAU 2019
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