AI-powered SAST tool for detecting vulnerabilities in application code
by ZeroPath · zeropath.com · source ↗
In the Linux kernel, the following vulnerability has been resolved: svcrdma: use rc_pageoff for memcpy byte offset svc_rdma_copy_inline_range added rc_curpage (page index) to the page base instead o…
In the Linux kernel, the following vulnerability has been resolved: ksmbd: close accepted socket when per-IP limit rejects connection When the per-IP connection limit is exceeded in ksmbd_kthread_fn…
ZeroPath AI-Native SAST is an AI-native static application security testing platform for modern DevOps teams. It performs AI-native static analysis to find real vulnerabilities, including business logic flaws, broken auth, and bugs other scanners miss, then verifies exploitability and generates working patches. The tool scans repositories with zero configuration and no build scripts required, and integrates with GitHub, GitLab, Bitbucket, Azure DevOps Services, Gerrit, and CVS.
Finds 2x more vulnerabilities with 75% fewer false positives AI-native static analysis for business logic flaws, broken auth, and missed bugs Verifies exploitability and generates working patches Zero config repository scanning with no build scripts required Cuts AppSec noise by 90% on average across customers Integrates with GitHub, GitLab, Bitbucket, Azure DevOps Services, Gerrit, and CVS
No datasheets, whitepapers, case studies, videos, or demos linked yet.