OpenHack

What separates OpenHack from the SAST cohort is the verification step. Traditional scanners produce a ranked list you then spend engineering hours disproving; OpenHack builds a working proof of concept and reproduces the issue in a sandbox or browser before it writes a finding, and the homepage claims near-zero false positives from that auto-verification. The vulnerability classes it advertises are the ones static analysis typically handles badly: business logic flaws, race conditions, timing attacks, IDORs, authentication bypasses. Its published research is the honest signal here — an unauthenticated-upload bug in Papermark and a correlated 37-package npm typosquatting campaign are concrete outputs, not marketing. The model story is unusually flexible. The CLI lets you connect any provider and self-hosted open models, which means you can keep inference inside your own environment, and the managed platform offers custom data residency. That combination matters for regulated buyers who cannot send source code to a US-hosted inference endpoint. The flat pricing is the other draw: the free tier covers one project with five PR reviews a month and a one-time full scan, and Enterprise is quoted custom with pooled AI credits across the organization. Where it does not fit: this is application-layer security. Infrastructure, cloud configuration, network scanning, and mobile app binaries are outside scope, and a team wanting one platform to replace an entire scanner suite on day one will still need other tools. If you cannot install Python or CLI dependencies, the local path is closed. Enterprise buyers also need to run a sales cycle — that tier is described as custom with SSO/SAML, audit logs, advanced RBAC, on-premise, and BYOK. Try the free tier on a real repository first; the CLI makes that a same-afternoon experiment.