Artificial Intelligence in Open Source Auditing
| Reference number | |
| Coordinator | FOSSID AB |
| Funding from Vinnova | SEK 2 000 000 |
| Project duration | June 2018 - May 2019 |
| Status | Completed |
Purpose and goal
“Artificial Intelligence in Open Source Auditing” project delivered a prototype combining the largest and highest performing knowledge base of open source software on the market with the highest accuracy in identification of the corresponding licenses and security vulnerabilities and exposures. A successful implementation of a AI-enabled open source scanner is currently driving the innovation in FOSSID tools by increasing the accuracy of the tools and thereby dramatically cutting the costs of the software auditing process.
Expected results and effects
“Artificial Intelligence in Open Source Auditing” project is the foundation for the next generation products developed at FOSSID. A grant from Vinnova made it possible to accelerate the project and helps FOSSID on our mission to become the technology leader in tools for detection and identification of open source licenses and related security vulnerabilities.
Planned approach and implementation
FOSSID have now integrated the best performing algorithms and models into a complete AI-enabled prototype for software auditing. We have started to include parts of this prototype into our products and this has lead to substantial improvement in the accuracy of FOSSID tools. FOSSID customers have confirmed that the additions from the AI project have lead to notable improvement in the quality of FOSSID results, which is resulting in new sales of FOSSID tools.