| What it does | Open-source AI security verification
| Finds reproducible bugs and runtime vulnerabilities by running your product in a production-like sandbox
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| FR
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| Pricing model | Open source
| Free trial
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| Pricing | Not given
| Free for open source projects. Paid plans available for commercial use; specific pricing not listed.
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Builds a sandbox that replicates production environment
- Mocks or emulates third-party services like payments, mail and APIs
- Provides failing test for every defect found
- Maps product architecture and reads code for suspicions
- Validates security issues with real exploits against sandbox
- Crawls every link and finds missing routes
- Runs locally or in the cloud
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Catches bugs code review misses by running the actual product instead of just reading diffs
- Every bug comes with a reproducible failing test that proves it
- Finds runtime vulnerabilities by firing real exploits against the sandbox
- Tests untested integrations and hard-to-mock async services
- Free for open source projects
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 22 ● no change since last check |
| Trust Flow (Majestic) | 2 | 9 |
| Citation Flow (Majestic) | 21 | 27 |
| Referring domains (Majestic) | 22 | 63 |