Software Vulnerability Detection uses AI to identify security flaws in source code and software artefacts, enabling faster and more complete risk remediation, by analysing code, developer data, and security signals to surface hidden vulnerabilities and prioritise fixes, across development and security operations workflows.
Software codebases contain security vulnerabilities that are difficult and slow to find through manual review or traditional scanning. Undetected flaws increase risk exposure, delay release cycles, and result in costly post-production remediation.
The AI analyses source code, developer artefacts, and security data to detect previously hidden vulnerabilities and produce a prioritised list of flaws with remediation guidance.
Reduces time to detect critical vulnerabilities and increases the proportion of high-severity flaws found before production; measured as mean time to detection and critical-vulnerability escape rate.
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