For security and engineering teams
Security thatsigns its work.
Find the flaw. Follow through.
Sprino discovers vulnerabilities in code and brings our findings and yours into the same verification layer. We’re building toward a system that understands the problem, develops the fix, and shows its work along the way.
Approach
Security should move with the software.
We’re building for a future where AI accelerates software development beyond what traditional security can keep up with. As software becomes increasingly autonomous, security must evolve to understand real risks, validate findings, and take action at the same pace.
- Understand the application.
Trace code paths, identities, permissions and data to understand behavior and where trust can break.
- Challenge the finding.
Our findings and yours share one verification layer: evidence for and against each claim, and what remains unknown.
- Develop the fix.
We’re working toward focused patches, with clear reasoning and checks to establish whether they address the issue.
Principles
Show the work.
A finding, a rejected claim, a proposed fix: each should come with a case you can examine. Sprino keeps the relevant code, supporting evidence and unanswered questions connected, so the work can stand up to review.
We distinguish what source analysis supports from what controlled execution demonstrates. The fixes we’re working toward should carry the same clarity: what changed, why, and what the checks actually established.
Open-weight models are part of how we build. They give us room to evaluate, adapt and change the underlying technology as it evolves. The evidence standard stays.
Blog
Our findings
All articlesWhat AI finds in code that pattern matching cannot
Contact
Take a closer look.
Meet the team building Sprino. We’ll show you what’s working today, where we’re heading, and how an evaluation could start with your application or a finding worth investigating.