| What it does | Secure AI agents, with evidence
| Open source code review inside your coding agent before you push
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | GR
| US
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| Pricing model | Freemium
| Open source
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| Pricing | Community: €0 (open source, 1x monthly testing volume, weekly monitoring, 3 seats, 30-day data retention). Team: €349/mo (20x monthly testing volume, 10 seats, 90-day data retention, webhooks, priority support). Enterprise: Custom pricing (contact for details).
| Free. Open source under Apache 2.0 license.
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| Key features | - Automated adversarial testing with multi-turn and agentic attack chains
- Black-box testing without SDK installation or agent modification
- Four-tier Humanbound Firewall with LLM judge
- Continuous posture score from 0 to 100
- Framework mapping to EU AI Act, NIST AI RMF, OWASP LLM Top 10, OWASP Agentic AI Top 10
- Air-gapped testing with self-hosted models like Ollama
- Export compliance evidence in HTML, PDF, JSON, SARIF, CEF formats
- Webhook integration with SIEM and ticketing systems
- Apache-2.0 open source CLI, testing engine, and SDK
- Baseline campaign completion in hours
| - 22 built-in scanners for secrets, security, dependencies and lint errors
- Code graph showing callers and importers of changed code
- Separate reviewer process using Claude Code or Codex
- Script-based validation of review completeness
- Works with Claude Code, Cursor, Codex and Cline
- Terminal, agent and CI integration
- GitHub Action for pull request reviews
- Pre-commit and pre-push hooks
- Custom scanner configuration from GitHub
- No telemetry or data collection
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| What makes it different | - Continuous monitoring instead of point-in-time reports
- Adaptive multi-turn attack chains that evolve over time
- Same open-source code as platform with nothing held back or limited
- No account required for local open-source testing
- Framework mapping and compliance evidence for regulatory requirements
| - No API key, account or server required - runs entirely on your local machine
- Separate reviewer process with no memory of the coding session that produced the code
- Open source Apache 2.0 license with full transparency
- Integrated directly into coding agents without additional configuration
- Findings only on changed lines, not whole repository
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ● no change since last check | 41 ● no change since last check |
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| Trust Flow (Majestic) | 8 | 17 |
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| Citation Flow (Majestic) | 30 | 22 |
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| Referring domains (Majestic) | 71 | 316 |
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Humanbound