Hornet.
Caught Before It Ships.
Hornet reads your source the way a senior reviewer would, then hooks into your version control. Every release is scanned for what that release introduced — and each finding is validated before it reaches an engineer.
It Lives in Your
Release Pipeline.
Connect GitHub, GitLab, Bitbucket or Azure DevOps once. Hornet builds a model of the codebase — data flows, trust boundaries, where user input actually reaches — and keeps it current with every merge.
On each version release it scans the delta, attempts to prove exploitability in a sandbox, and only then raises it — as a comment on the pull request that introduced it, with the fix attached.
The Bugs a Scanner Misses
and a Reviewer Would Not.
Logic and authorisation flaws
Missing ownership checks, IDOR, privilege boundaries that hold in one route and not the next — the class of bug pattern matching cannot see.
Injection and untrusted input
SQL, command, template and deserialisation paths traced from the real entry point to the sink, across services and languages.
Secrets and configuration
Committed credentials, over-broad cloud roles and debug paths that were fine in staging and shipped anyway.
Reachable dependency risk
Vulnerable packages ranked by whether your code actually calls the affected function. Most of your CVE backlog is noise, and Hornet says which part.
Crypto and session handling
Weak primitives, homegrown token schemes and session lifetimes that quietly undo the rest of your controls.
Regressions you already fixed
Every validated finding becomes a rule. If a refactor reintroduces it two releases later, the pull request is blocked with the original case attached.
Validation is the product
Anything Hornet cannot prove reachable is filed as context, not as a ticket. Your engineers see two confirmed issues instead of ninety maybes — which is the only reason they keep reading them.
Hornet, answered.
How is Hornet different from a SAST scanner or a dependency tool?
It proves exploitability in a sandbox before it raises anything, so you see two confirmed issues instead of ninety maybes. That means it catches the logic and authorisation flaws pattern matching cannot see, and anything it cannot prove reachable is filed as context rather than dumped on an engineer as a ticket.
Where do findings actually show up?
As a comment on the pull request that introduced the issue, with the fix attached and a fix branch pushed. The bug is caught where it was written and where it will be fixed, before the release ships — not on a dashboard someone visits once a quarter.
Does it re-scan the whole codebase every time?
No, it is diff-aware. Hornet builds a model of your data flows and trust boundaries, keeps it current with every merge, and on each release scans only what that release introduced. That keeps it fast enough to live inside the pipeline.
What does it connect to?
GitHub, GitLab, Bitbucket or Azure DevOps — connected once, then it hooks into your version control and runs on every release automatically.
Will it bury us in alerts like our current tools?
That is the thing it is built to avoid; validation is the product. Vulnerable dependencies are ranked by whether your code actually calls the affected function, so most of the CVE backlog is revealed as noise, and every confirmed finding becomes a rule that blocks the pull request if a later refactor reintroduces it.
Find Out What an Attacker
Would Find First.
A forty-five minute review with a senior engineer. No slides, no obligation, three concrete actions at the end.