Utilizing a security analyzer for static code analysis to detect potential security vulnerabilities.

Leveraging AI technology, such as ChatGPT, to detect logic vulnerabilities, encompassing a wider range of vulnerability types and adapting to various code variations. It enables detection even when the vulnerability names and code flow have been altered.

Conducting code quality assessments to identify and extract a majority of informational and low-level vulnerabilities.

Primarily focused on identifying vulnerabilities related to contract execution and fixed logic flaws, while addressing the issue of higher false positives in static detection.

Employing clone detection techniques to identify code clones and prevent the introduction of security risks through code duplication or similarity, especially for Migration Attack.

Performing security assessments on the usage of open-source libraries, ensuring their secure integration within applications.