The agent control plane
Observe, govern and prove every AI agent, across every vendor.
Self-hosted: the control plane runs in your network.
Flow runs the process
- Claim received
- Assess claim
- Approve refund
- Pay out
Gate decides each call the agent makes
- llmgpt-4.1 → azure-eupass · rewrote 2 spans: IBAN, national ID
- a2afraud-checkpass · key claims-agent
- mcpmail.senddenied · rule no-external-email · control AC-4
Both leave proof
Two products, one control plane
Gate watches every agent from outside its loop. Flow runs the processes agents work inside. Both leave proof.
Inline AI security gateway
Every model, tool and agent call, checked inline and signed.
For security and platform teams →
Adaptive process orchestration
Deterministic process and AI agents in one model, every step replayable.
For engineering and model-risk teams →
Works with
- ModelsGate
- OpenAI · Anthropic · Azure OpenAI · Amazon Bedrock · Gemini · Mistral · xAI · DeepSeek · Groq · Together · Fireworks · Cerebras · Perplexity · OpenRouter, and any OpenAI-compatible endpoint, hosted or your own
- Tools and agentsGate
- MCP · A2A
- ProcessesFlow
- BPMN · CMMN · DMN · Arazzo
Agents fail in two places
One is the call: what goes out to a model or a tool, and what comes back. The other is the process: what the agent was doing, in what order, and on whose approval. Gate holds the first and Flow runs the second.
In the callGate
- Personal data leaves in a prompt.
- Gate finds 83 kinds of identifier in the request and rewrites them before the call leaves.
- A tool result carries instructions from someone who is not the user.
- Gate's detectors read tool results as well as the user's turn.
- An agent calls a tool outside its rules.
- Access rules read the server, the method and the tool from the request, and Gate refuses the call.
In the processFlow
- A run crashes halfway and its state is gone.
- Flow keeps the run's state as data in a replicated log and resumes from the last recorded step.
- Nobody can reproduce a decision.
- Flow records each branch condition with its expression and result, and replays a case against its pinned model.
- An approval gets skipped.
- A person's approval is a task in the process, and the run waits on it until someone completes it.
Where Kirto runs
Gate sits on the line every agent call crosses on its way out. Flow sits beside the systems you already run, and its agents' calls cross Gate like any other caller's.
your network
where calls go
Check the record yourself
A record is evidence when someone outside the system that wrote it can check it. Both records come with the command that does.
Gate's audit trail
$ kirto-gate audit verify gateway.log NODE KID ENTRIES SEQ ORIGIN CLOSED SIGNED STATUS gw-a da3b27d1a322d9c0 7 1..7 genesis true true ok 25 other lines ignored verified
Each record is hashed, chained to the one before it on that node, and signed with ed25519. The command runs offline on the exported trail, reports any record altered, removed, moved or forged, and exits 1 when one is. It needs no gateway, no cluster and no credential.
Verify the audit trailFlow's case record
$ kirto-flow-replay -model refund.bpmn -history case-4821.json
The command feeds the case's recorded inputs through a fresh engine on the pinned model and compares the chain it derives with the stored one. Exit 0 means they match, and 1 means they diverged. The same replay runs in the modeler and on the gateway's replay endpoint.
What a replay checksStart with Gate, add Flow
- 01
Put Gate on the path
Point your applications and agents at Gate in place of the provider, or run it behind the gateway you already have over ext_proc. From that call on, every request is checked and recorded.
Govern your first provider - 02
Model the agent's process in Flow
Write the steps around the agent in BPMN, CMMN and DMN: what it is for, which tools it may reach, and where a person approves. Its calls keep going through Gate.
Kirto Flow - 03
Tie both to your controls
Each rule names the controls it implements, so a refusal carries the control id into the signed record. A governance platform reads the decisions back from the trail.
Forrester's AEGIS domains, one by one
From the blog
Run it in your network
Self-hosted: the control plane runs in your network. We show Gate and Flow on a deployment shaped like yours.