See what your AI agents do.
Control what they can reach.

AI agent governance is the layer of controls, permissions, and audit logging that determines what an AI agent is allowed to see, which tools it can use, what actions it can take, and how every decision is recorded. It is distinct from model governance (which controls the LLM) and data governance (which controls the underlying data stores).

Agents are not chatbots — they take actions, use tools, and access systems. Without governance, they can expose regulated data, execute unauthorized actions, hallucinate when they lack grounded data, and leave no defensible audit trail. No regulated company can deploy agents at scale without it.

Model governance controls the LLM — choice of provider, prompt filters, model-level safety. Agent governance controls what an agent built on top of that model is allowed to do — its tools, its data access, its actions, and its audit trail. ContextGate works at this layer, on the tool calls an agent makes.

Rogue agents are AI agents that act without supervision: they reach data they should not see, take actions they are not authorized to take, and leave no record. ContextGate logs every tool call your AI apps make through it and blocks, warns on or redacts the ones that break your policies.

Every tool call your AI apps make through ContextGate is checked against your workspace policies, before the tool runs and again before the AI app sees the result. A policy can block or warn on a call, redact personal data, or stop a call that carries a secret. You can also switch individual tools off.

Personal data in tool results is replaced with placeholders before the AI app sees it: 40 built-in types, from emails and phone numbers to UK sort codes and National Insurance numbers, plus your own patterns. When the AI app sends a placeholder back in a later call, the tool gets the real value. The activity log stores arguments as sent and results redacted. Calls whose arguments contain an API key or other secret are blocked, and the secret is kept out of the log. See the privacy policy for how we handle data.

Yes. ContextGate is an MCP server. Your AI app connects to it once, and it brokers every tool call to your connections (apps such as Gmail, GitHub, Salesforce and Slack, or any remote MCP server) with policy checks, redaction and logging.

It helps you show evidence. Every tool call routed through ContextGate is logged with the AI app, user, tool, arguments, redacted result and policy outcome (allowed, warned or blocked), with the policy and rule that applied. Policy templates such as GDPR Strict, HIPAA Strict, PCI DSS and EU AI Act give you a starting point.

Yes. ContextGate is an MCP server, so it works with any AI app that supports remote MCP, such as Claude, ChatGPT, Cursor, VS Code, Codex and Gemini CLI, whatever model the app runs. It governs tool calls only. It does not proxy or route your model calls.

ContextGate sees only the tool calls your AI apps route through it. It does not see an app's built-in tools, your chat with the AI app, or the model's answers.

Yes. ContextGate is free, and you do not need a card to sign up.

An AI agent governance framework is the set of policies, controls and audit records that decide how AI agents behave inside an organization: who they act for, which tools they can use, what data they may handle, and how their actions are recorded. ContextGate enforces your policies at its MCP gateway, on every tool call, and logs each call.

It means knowing who or what is behind every agent action. ContextGate attributes each tool call to the AI app that made it (such as Claude or Cursor), the user who signed it in, or the API key it used. API keys can be created and revoked. Policies apply workspace-wide.

It is the ongoing view of how safe your agents are right now: what they call, what gets blocked, and where the gaps are. In ContextGate, Overview shows tool calls, blocked and warned calls, connected AI apps and top tools. Attention lists the last 7 days of blocked and warned calls in one place.

It decides which tools an agent can reach. In ContextGate, every tool on your connections is reachable until you switch it off in a toolbox. Switched-off tools are hidden from the AI app and refused if called, and policies can block individual calls. ContextGate does not scope data by row or add approval steps.

Many AI governance tools focus on the model, the data store or the retrieval index. ContextGate governs what agents do with tools: it brokers tool calls over MCP, runs your policies on every call, redacts personal data before the AI app sees it, and logs every call. It is free and takes minutes to set up. See the agent governance guide for a deeper comparison.