PRODUCTS
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.
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.
Explore Decoy identities →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.
Explore Trap facts →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.
Explore Prompt-injection firewall →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.
Explore Decoy assistants →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.
Explore Tamper-evident action log →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.
Explore Agent runtime protection →