| What it does | AI-powered tabletop exercise platform for crisis and operational readiness training
| Open-source AI security verification
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| Stage | Not given
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| Founded | Not given
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| Based in | GR
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| Pricing model | Not given
| Open source
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| Key features | - AI-generated tabletop exercises tailored to sector and threat profile
- Custom scenario context from your playbooks and runbooks
- Live simulation with real-time AI-driven adversarial roles
- Automated post-simulation performance reporting and gap analysis
- Self-serve or fully facilitated exercise options
- Cybersecurity incident scenario training
| - 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
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| What makes it different | - Exercises customized to your actual playbooks, team structure, and risk profile
- Team combines battle-tested crisis veterans with AI researchers
- Measurable learning impact focused on improving readiness
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 8 | 2 |
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| Citation Flow (Majestic) | 21 | 21 |
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| Referring domains (Majestic) | 4 | 22 |
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Mirtio
Guardana