Security for autonomous AI agents
From stateless drifters to verifiable agents. A cryptographic audit trail, governance policies and encrypted transcripts for every autonomous agent you run. One Docker container, zero code changes.
An agent without history is a stranger every time. We make identity the sum of everything it has done — provable, continuous, and impossible to replay.
Continuous compliance, zero replay windows, mathematical proof. No agent acts without a verifiable record; no record can be forged after the fact.
Create, deploy and cut off agents from your panel or from your AI client. Cryptographic audit trail, governance policies, kill switch and encrypted transcripts. One Docker container on your machine, orchestration always from here.
Hardware-bound secrets manager. Eliminate .env leaks with hardware-bound encryption. Zero configuration, AES-256-GCM.
Build an automation by dragging, or write it in the terminal: it is the same one, seen two ways. It runs under the same policies, the same signed log and the same cut-off as everything else.
Your projects live here, and so do your agents: working as a team on the same code, with a signed history of who did what. An agent acts with the permission of whoever launched it, never with more.
All four come in full with any plan. What you choose when you subscribe is scale: how many agents you run at once, how many projects you keep and how many people you share them with.
Product · LockStock
Stop a compromised agent in one action.
Every exchange sealed end to end, with mathematical proof.
Nine capabilities that turn an opaque agent into an accountable one. Every one is on by default.
Drop one Docker container beside your agents. No SDK, no rewrite, zero code changes.
Each agent receives a cryptographic identity bound to everything it has done. Stateless drifters become verifiable.
Set policies and a kill switch. Per-action credential rotation and velocity monitoring stop a compromised agent in its tracks.
Transcripts are encrypted end to end; a causal audit trail links cause to effect with mathematical proof.
Continuous compliance with zero replay windows. Hand an auditor proof, not promises.
All four products come with every plan. What changes is how many agents you run at once, how many projects you keep and how many people you share them with.
Changing plan interrupts nothing: agents already running keep running. A plan we stop offering is never taken away from someone already on it.
decypher runs as a single Docker container beside your agents and observes their actions at the boundary. There is no SDK to install and nothing in your agent code to rewrite.
Instead of a flat log, every recorded action is cryptographically linked to what caused it. You can prove not just that something happened, but why, with no replay windows to hide in.
Wherever your agents run. It is one self-contained container, so it deploys the same on your laptop, your cluster or your private server.
All three, in full, on every plan. What changes between them is how many agents you run at once, how many projects you keep and how many people you share them with. No features are switched off by price.
Changing plan interrupts nothing: agents already running keep running. And a plan we stop offering is never taken away from someone already on it: retiring a plan is about who can subscribe from now on, never about who already did.
Ready when you are
From signing up to a team of agents working