white box approach
The first tool with White Box Approach: it explains clearly why a transaction looks suspicious. No more Black Box antifraud systems identifying anomalous transactions with no further indications.
Banksealer is the result of a Ph.D. research at Politecnico di Milano. The algorithm uses most advanced machine learning techniques to define an accurate behavioural model for every Internet banking user.
pluggable and adaptable
No need to dismiss any existing system, Banksealer can be installed easily either as a stand alone application or a plug-in tool, reinforcing existing antifraud programs.
Banksealer is capable of promptly detecting suspicious transactions made through Internet banking frameworks, improving prediction of potential frauds and helping financial institutions to ensure higher security for their customers, together with better internal efficiency.
Firstly transactions are automatically listed according to the risk score that our system indicates, then those elements of the operation (Amount, Place, Timestamp etc.) that appear suspicious, compared to user’s standard behaviour, can be furtherly analysed.
Thanks to academic Ph.D. research of Politecnico di Milano, our software creates the behavioural schema of the user and reports those activities appearing appreciably different from his profile whilst traditional anti-fraud systems adapt static rules that need to be manually tuned.
It doesn’t matter what type of activity needs specific analysis: bank transfers (performed even in mobile banking), phone recharges, cards activities, micro-payments or even only logins, our system is able to catch any suspicious behaviour!
The quantity of users and data is growing enormously; to be fully reactive and helpful, Banksealer has been designed to handle millions of data, in every format, and highlight only relevant information.
The software is composed by several micro-services operating on a database: easy architecture, open formats, well defined APIs, simple to install on every online banking infrastructure.
Be PSD2 compliant! Banksealer is able not only to monitor your customers' transactions but also to provide clear reports, fraud rates and their incidence on the total transactions amount.
Banksealer can be set up either as a stand-alone application or a plug-in tool, in case of an existing anti-fraud system. It can also be adapted to the specific needs of analysts and enriched with their feedbacks.
No specific effort, training or activity is requested to the bank, Banksealer is simple, clear and easily usable by every type of analyst: we want to create no time consuming but time saving tools.
Banksealer provides also metrics and stats to monitor activities and trends (number of transactions, amounts, incidences on total transactions amount etc.), serving also as a Business Intelligence tool.
Banksealer is not “threat-specific”: it ensures a wide protection shield from each type of Banking Trojan and phishing attack. Banksealer detects up to 90% of fraud transactions (based on advanced fraud scenarios).
It's not about increasing the number of warnings but their quality so that analysts can dedicate their time to really suspicious transactions only, instead of having too many “false positives”. Users behaviour can also be easily analysed and monitored thanks to our readable models.
Banksealer doesn’t force you to modify existing security systems but makes them more performing thanks to its integration modules, optimizing costs and obtaining concrete benefits for financial institutions.
Banks are investing a lot to develop safer accesses to Internet banking frameworks but this is not enough. It is crucial to have high quality tools that are able to analyse users’ activities too, in order to have a higher security level and avoid economic or reputational damages to the institution.
Banksealer is a spin-off of Politecnico di Milano.
Our team is composed by Researchers, Software Engineers, experts in Cyber Security and Software Architects.
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