
| Title of the Project |
CYBER SCAN PRO |
| Students Details |
202110514 Reem Ibrahim 202110086 Yara Ahmed Nassar 202110645 Aliaa Khaled Al Mousalli 202210711 Gheena Baghdadi |
| Abstract |
In the known network vulnerabilities scanner, they face a critical problem, which is that they often fail to translate these vulnerability issues in a clear, understandable way for people who do not have a technical background in cyber. This capstone project represents an intelligent penetration testing that has both an automated scan that is integrated by AI and a manual scan that also has a report generated by an AI agent. Our solution is a platform is a user-friendly interface, which helps make it easy for users to access and helps them scan their IP with maximum performance. In summary, this project combines both the use of AI securely and innovatively to help networking students and users in general. Our goal is to improve the report generated by the scans using the AI Agent and to minimize critical vulnerabilities in time. |