Service: Project ML-SAST

Responsible organisation: Federal Office for Information Security (BSI) (Central-Government)

The Federal Office for Information Security (BSI) intends to support and advance the development of ML-based SAST tools for automated and autonomous detection of new error patterns during the programming process. This should result in more secure programs, reduced workload and shorter development time. In the ML-SAST project, the use of machine learning (ML) methods in the context of static application security testing (SAST) will be evaluated. As research and experience prove, ML shows strength in the area of automated pattern recognition. As first step of the project the feasibility of ML-based SAST will be investigated. Therefore the current research literature on this topic will be reviewed. The goal is to identify the most suitable ML models. The results will be published in a study. Based on the findings of the study, an open source prototype of the ML-SAST method will be developed.

Additional information

Source Open Innovation Regione Lombardia
Web site https://www.evergabe-online.de/tenderdetails.html?1&id=343088
Start/end date 2020 -
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