Order records readable across workspaces.
/orders/{id}- 00:02Candidate found
- 00:05Reproduced independently, control passed
- 00:07Report filed with the fix
- 00:09Fix verified on the new version
We’re building security testing for code, apps and live systems: a fleet of AI agents that tests everything you expose the way an attacker would, and only reports what it can prove.
Agents test your system from every side at once. A finding counts only once it has been reproduced independently, and every fix is checked again on the new version.
MapAgents test every route, from every side.
Between tests, the fleet watches for change and turns each change into a test. The system behind it keeps what finds real issues and retires what doesn’t.
AdvisorySession tokens surviving logout in an auth SDK → hypothesis → 2 apps tested → not affected
G42Two proven findings became reusable checks.
What exists today, what is planned, and what a useful finding contains.
A research-stage project. Secori is building adaptive security testing for source code, web applications and live systems. The approach combines a fleet of AI agents, independent reproduction of every finding before it is reported, and private reports with evidence and remediation guidance.
Not yet. The public site and console are interactive design previews using synthetic data. No customer scanning service is available, and the preview does not accept your repository, files or credentials.
Two modes, qualified separately. Source review examines a pinned code snapshot for weaknesses and risky paths. Authorized live testing examines application behavior, including authentication, sessions, APIs and access between roles. A source-supported finding is not proof of a runtime vulnerability.
Planned, not promised. Web-app and Web3 teams are both intended audiences. Web3 frontends, smart contracts and chain-specific behavior require separate qualification. Broad smart-contract audit coverage is not available or promised today.
Evidence you can act on. A useful finding explains the affected component, prerequisites, impact, reproducible evidence, suggested fix and what was not tested. Secori’s proposed evidence ladder separates suspected issues from independently reviewed and fix-verified findings.
This is a research preview: nothing on this site tests a real system yet. See where it stands →
© 2026 SecoriResearch previewEverything on this site is syntheticsecori.io