Six surfaces. One platform.

Decoy identities

Monitored decoy identities, three for every email address you protect, seeded into fake credential dumps on the paste sites where stolen ones get traded. They belong to nobody, so the first contact proves someone harvested one and acted on it.

Trap facts

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

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.

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.

Tamper-evident action log

Every agent action is hashed with SHA-256 as it is written, sealed with a server-held key, and linked by hash to the action logged before it. Re-verify anytime: an action whose logged fields were changed fails its check.

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.