| What it does | Deception-based AI security platform protecting AI systems with canary tokens, trap facts, prompt firewall, honeypots, and tamper-evident audit trails
| Browser fingerprint and automation detector that cross-checks JavaScript consistency against network layer signals
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Free
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| Pricing | Free plan with 3 decoy identities, 2 CanaryRAG documents, 10 Shield inspections per month, no credit card required. Shield at $12/mo includes 9 decoy identities, 3 protected emails, 500 Shield inspections per month. Pro at $24/mo includes everything in Shield plus tamper-evident logging at scale and
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| Key features | - Decoy email identities seeded into fake credential dumps on paste sites that alert when used
- Trap facts woven into documents to catch AI knowledge base leakage
- Three-layer prompt-injection firewall between users and models
- Fake AI endpoints that fingerprint attackers and classify their intent
- SHA-256 sealed, tamper-evident action logs for all agent actions
- OpenClaw agent heartbeat monitoring, skill scanning, and live action timeline
- Legal PDF export of tamper-evident records (Pro and above)
- API access on all plans including Free
- Email and Telegram alerts for all triggered canaries
- Threat-intel enrichment checking hits against IP reputation and exposure data
| - JavaScript fingerprinting across canvas, WebGL, WebGPU, audio, fonts, navigator and screen
- Network layer analysis via Cloudflare request metadata
- Behavioral challenge to verify human interaction
- Open-source package for CI integration
- Passive automation detection via navigator properties and framework residue
- Cross-layer consistency checking between JavaScript and network signals
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| What makes it different | - Managed SaaS deployment with no hosting or maintenance required, unlike traditional honeypots
- Automated seeding of decoy credentials to paste platforms with staggered timing
- Purpose-built AI leak detection via trap facts in RAG systems
- Evidence-focused design with tamper-evident, verifiable logs
- Free plan with full access to all product surfaces for testing
| - Three independent detection axes that fail separately rather than as one system
- Combines JavaScript analysis with network-layer observations that JavaScript cannot fake
- Educational and defensive tool, not a service for evading detection
- Live read-only measurement with no data storage
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 6 ● no change since last check |
| Trust Flow (Majestic) | 0 | 2 |
| Citation Flow (Majestic) | 0 | 27 |
| Referring domains (Majestic) | 0 | 42 |