Control Zero for Developers
Govern What Your AI Does.
At Runtime.
AI agents are non-deterministic. They call tools, access data, and make decisions you did not explicitly authorize. Control Zero enforces your policies on every API call, every tool invocation, every LLM response. Before it reaches production.
$ pip install controlzeroNo account required
The problem
AI agents gain new capabilities every week. They invoke tools, query databases, write files, and call external APIs. Existing guardrails are probabilistic. They detect some bad outputs. They miss the actions in between.
The answer
Deterministic policy enforcement. Every action checked against your rules before execution. Allow, block, warn, or audit. You define the boundary. Control Zero enforces it. Every decision logged.
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The Shift
AI Agents Are Autonomous.
Your Governance Should Be Too.
Every week, AI agents gain new capabilities: writing code, managing infrastructure, accessing production systems. The tools they use (MCP, function calling, tool use) create new trust boundaries that traditional security cannot see.
Your LLM provider gives you model access controls. Your cloud provider gives you IAM. Neither governs what happens between the model and the tool call. That gap is where data leaks, unauthorized actions, and compliance violations live.
Control Zero fills that gap. A compiled policy engine that runs in your process. A transparent gateway proxy that evaluates every request. SDKs for Python, Node.js, and Go. The same governance layer, whether you are a solo developer or a platform team.
3
SDKs (Python, Node.js, Go)
0
Code changes for gateway mode
<1s
Policy sync time
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Two Ways to Integrate
Both included on every tierChoose the gateway for zero code changes, or the SDK for fine-grained per-tool control. Both available on the free tier. Both work without an account in local-only mode.
Gateway Proxy
Zero Code Changes
Point your AI agent at the Control Zero gateway instead of the LLM provider. Change one environment variable. Every request passes through your policies. PII detection, model access control, cost caps, and full audit trail.
SDK Integration
Fine-grained Control
Wrap your AI calls with the SDK for per-tool governance, secret injection, and local policy evaluation. Works without an API key in local-only mode. Available for Python, Node.js, and Go.
Developer API and MCP Server
Governance as Code
Automate policy management with a REST API and Model Context Protocol server. Manage policies from your AI coding assistant. Build integrations. Everything automatable.
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How It Works
01
Install
Install the SDK or point your API base URL at the gateway. One package, one line of config. No infrastructure changes. Works with OpenAI, Anthropic, LangChain, MCP, and more.
02
Define Policies
Set rules from the dashboard, via API, or in a local JSON file. Model allowlists, cost caps, tool restrictions, PII filters. Policies are cryptographically signed and cached locally.
03
Enforce and Audit
Every request evaluated in real time. Allow, block, warn, or shadow. Five enforcement modes. Full audit trail on every decision. Searchable, exportable, compliance-ready.
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How We Compare
Different tools solve different problems. Control Zero is the only platform that combines a transparent proxy, in-process SDK, and local-only mode in a single product.
| Capability | Control Zero | Guardrails AI | LangSmith | Custom Build |
|---|---|---|---|---|
| Gateway proxy (zero code) | Y | - | - | - |
| In-process SDK | Y | Y | - | DIY |
| Local-only mode (no account) | Y | - | - | DIY |
| PII detection | Y | Y | - | DIY |
| Model access control | Y | - | - | DIY |
| Cost caps | Y | - | - | DIY |
| Audit trail | Y | - | Y | DIY |
| Self-managed (Docker) | Y | - | - | N/A |
| Free tier | Y | Y | Y | N/A |
Self-serve setup. No sales calls. No contracts.
Start free in under 60 seconds. Upgrade when you need more.
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Where This Is Heading
Governance Is Becoming Infrastructure
Right now, developers install the SDK or point at the gateway to govern their AI applications. They define policies, configure alerts, and review audit logs through the dashboard. This is where most governance products stop.
But teams building production AI need governance as code, not as a dashboard tab. That is why Control Zero ships with a full REST API and an MCP server. The same operations you run through the UI, your CI/CD pipeline and your AI coding assistants can run programmatically.
The industry is heading somewhere more fundamental. As AI agents gain autonomy, they will need to provision their own governance. Not because a human told them to, but because it is part of operating responsibly. The same APIs developers use today are the APIs agents will call tomorrow.
We are building for that trajectory. Every endpoint is agent-callable. Every workflow is automatable. From a solo developer governing a side project to a platform team enforcing compliance across a fleet of autonomous agents.
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