Project description
Smarter AI for safer software
Cyber threats are constantly evolving, and traditional testing often struggles to keep up. With this in mind, the EU-funded AISSAM project will embed smarter vulnerability detection into software development. By combining static analysis, symbolic analysis and artificial intelligence, AISSAM creates a tool that simulates attacks, identifies weaknesses in real time and reduces false alarms. Unlike other AI systems that handle only one type of analysis, AISSAM integrates both, making detection faster and more accurate. The project will deliver a prototype to enhance penetration testing, helping developers uncover vulnerabilities quickly and reliably. Supporting SMEs, AISSAM promises stronger cybersecurity and economic savings, making safer software development more achievable.
Objective
"In today's software development problematic become new security threats that always appearing. To combat this, we can integrate penetration testing right into the development framework. With penetration testing, we can make the program mimic an attacker and simulate several different ways an attacker would try to breach the system. This gives us some immediate and valuable feedback on the system's potential weaknesses. Even when we use additional tools to do the actual pen testing, we can still derive value from doing them in the development framework. These ""tests"" are also valuable based in real time.
The project aims to ensure more effectively uncover software vulnerabilities by combining static and symbolic analysis with artificial intelligence (AI) advances.
The project objectives:
1. to analyse existing practices on minimizing positives and enhance method efficiency by harnessing AI capabilities, for results to decrease Cybersecurity problems.
2. to develop an AI-based model that improves bug detection accuracy by efficiently integrating symbolic execution with static analysis.
3. to develop AI based prototype on static and symbolic analysis improving penetration testing accuracy.
AI-powered prototype will enhance current techniques by improving the resource-intensive symbolic execution process and minimizing false positives, which are frequently linked to static analysis.
While current AI tools typically handle either symbolic analysis or static analysis, the AI model we will develop will cover both of them. AISSAM promises more comprehensive problem finding tool than either kind of analysis can deliver on its own. Technological impact will be made on up to 20 SME’s and will significantly increase efficiency of bug detection accuracy by efficiently integrating symbolic execution. SME’s will get also an economic impact by saving funding for cybersecurity challenges solving.
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Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences computer security
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.4.1 - Widening participation and spreading excellence
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-WIDERA-2024-TALENTS-02
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
LT-44029 Kaunas
Lithuania
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.