| What it does | Secure AI agents, with evidence
| Take your AI support bot from 4/10 to 10/10
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| Stage | Not given
| MVP
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| Founded | Not given
| 2026
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| Based in | GR
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| Pricing model | Freemium
| Free trial
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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 during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
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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
| - Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
- Break my bot: 15 adversarial customer scenarios test for vulnerabilities
- Fix it for me: automatically rewrites rule sheet and tests against saved situations
- Train my bot: 30-minute automated training on weak spots with test validation
- GitHub integration: sends improvements as pull requests for engineer approval
- Real chat analysis: identifies problems in actual customer conversations with privacy masking
- Knowledge check: validates bot replies against FAQ and policy documents
- AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
- Open source engine: public GitHub implementation of scoring and testing algorithms
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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
| - Nothing ships without engineer approval: all changes go through GitHub pull request review
- Privacy by default: customer data anonymized, keys encrypted, uploads not stored
- Open source testing engine: full algorithm transparency available on GitHub
- Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
- Unified team experience: one plan covers support, product, and engineering roles
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 14 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 8 | 0 |
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| Citation Flow (Majestic) | 30 | 0 |
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| Referring domains (Majestic) | 71 | 0 |
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Humanbound
Rulebook