Everyone verifies who your agent is. NOCTRYS watches what it does — every action judged in real time, blocked when it's dangerous, and sealed into a record that can't be rewritten.
A chatbot returns text. An agent moves money, reads your customer tables, calls tools, and delegates to other agents — on its own, over untrusted input. The industry is busy proving an agent's identity at the perimeter. Almost no one is governing its behavior at runtime. That's the gap NOCTRYS closes: we don't try to read the model's mind — we gate its hands. Deterministic, inline, and fully observable no matter what happens inside the model.
Deterministic least-privilege rules on every action — no model in the enforcement path, so the verdict is reproducible and can't be talked out of the rules.
Two individually-allowed actions can still be an attack. NOCTRYS watches sequences, provenance, and per-agent baselines to catch what static rules can't.
Every action is sealed into a hash-chained ledger, anchored on AERE and cosigned by independent witnesses — so no one, not even us, can rewrite or equivocate the record. Anyone can verify a NOCTRYS seal for themselves. Every deployment also feeds a shared threat network: an attack blocked at one customer protects them all.
One enforcement core, three ways to run it — all self-hosted, inside your infrastructure. Your agents route through it; only a 32-byte proof ever leaves.
Installable as an MCP server your agent runtime spawns. Every tools/call is governed before it runs.
Agents POST /v1/intercept; a live compliance console streams every decision as it happens.
One static binary for the latency-critical path. Trivial to self-host — no runtime, no dependencies.
Automatic logging, human oversight, robustness, six-month retention — and up to €15M or 3% of global turnover for getting it wrong. NOCTRYS maps to the obligations out of the box, so an agent becomes auditable without becoming slow.
Route and rate-limit calls. They see traffic — not whether a sequence of allowed actions adds up to theft.
Read prompts with another model. Probabilistic, and blind the moment the agent leaves the chat box to take an action.
Judges behavior on the action plane — deterministically, fail-closed — and cryptographically proves what it did. The part regulators actually ask for.
Free pilot terms. A two-week, self-hosted integration. You keep the tamper-evident audit log and the AI Act compliance report from day one. In exchange — your honest feedback.