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Six surfaces. One platform.

Decoys, trap facts, a prompt-injection firewall, honeypots, tamper-evident audit trails, and agent runtime protection — each with its own surface, all reporting into one sealed evidence log.

01CANARYVAULTS

Decoy identities

Monitored decoy identities, minted for every email address you protect and seeded where stolen credentials get traded. Nobody else has them, so the first contact is proof — and it names the address the leak came from.

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02CANARYRAG

Trap facts

Invisible false facts woven into your documents. If your content ever shows up inside someone else's AI — a competitor's chatbot, a leaked knowledge base — the trap fact surfaces and proves the ingestion.

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03CANARYSHIELD

Prompt-injection firewall

Three defensive layers between untrusted text and your model — rules, semantic analyzer, sanitizer. Score any string with one API call, whatever produced it, or drop the OpenAI-compatible proxy in front of your chat completions.

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04CANARYHONEYPOT

Decoy assistants

Fake AI endpoints that look exactly like your production assistant — but answer with synthetic data and record everything. Attackers rehearse their attacks on them; you collect the playbook.

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05CANARYAUDIT

Tamper-evident action log

Every agent action sealed with a SHA-256 content hash and chained to the record before it. Re-verify the whole chain anytime — any edit after the fact breaks it, loudly.

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06CANARYAGENT

Agent runtime protection

Heartbeat monitoring, skill scanning, and a live action timeline for your OpenClaw agents. Know your agent is alive, vet every skill before it installs, and see what it actually did.

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