| What it does | Open-source AI security verification
| AI agents do the busywork, your team makes the calls
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| AT
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| Pricing model | Open source
| Open source
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| Pricing | Not given
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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
| - Requirements review agent that checks requirements for testability and clarity
- Test design agent that writes and refines test cases
- UI test execution without scripts or locators
- API test execution with JSON Schema and OpenAPI validation
- Defect reporting with screenshots and logs
- Integrated knowledge base with RAG access to project documentation
- Self-hosted models support including OpenAI-compatible providers
- Connected to Jira, Confluence, and Zephyr
- Supports Linux and Windows operating systems
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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
| - Runs entirely in your infrastructure with self-hosted models, not a SaaS product
- Covers the whole test process from requirements to reporting, end-to-end
- Tests from the screen like a human would, not through code or locators
- Learns from human demonstration and improves over time
- One test case works across any language or UI format without translation files
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 2 | 0 |
| Citation Flow (Majestic) | 21 | 0 |
| Referring domains (Majestic) | 22 | 0 |