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BIECO Integrated Platform will integrate the tools in a loosely coupled way.

Data Collection Tool (DCT) stores information from relevant vulnerability related datasets, providing a single access point to information required by the vulnerability detection and forecasting tools developed in T3.3, as well as for the failure prediction tools developed in T4.2.

Vulnerability Detection Tool will detect existing vulnerabilities within the source code which may lead to the successful execution of an attack.

Vulnerability Exploitability Forecasting Tool will estimate the probability of a vulnerability to be exploited in the next 3, 6 or 12 months.

Vulnerability Propagation Tool will calculate and offer the paths affected by a vulnerability in the source code.

Fuzzing Tool will test System Under Test (SUT) security vulnerabilities or inputs not contemplated that could compromise the system; as a black-box process, by using unintended or incorrect inputs and monitoring their corresponding outputs.

This exploitation result consists in cybersecurity consultancy services supported by ResilBlockly (former Blockly4SoS), a Model-Driven Engineering tool that has been developed in the context of BIECO.

Secured AI Investments platform using the outcome of the BIECO project.

Log Forgery Blocker – a brand new product on the market.

Security evaluation methodology to evaluate the security of an ICT system. The methodology is based on standards such as ISO 31000 standard for Risk Management, the ISO 29119 standard for Security Testing or the MUD standard…

The extended Manufacturer Usage Description (MUD) file is an extension of the MUD Internet Engineering Task Force (IETF) standard…