ContextGate

What is AI agent governance?

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).

Why do companies need AI agent governance?

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.

How is agent governance different from model governance?

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 owns this missing layer.

What are rogue AI agents?

Rogue agents are AI agents that act without supervision — they access data they should not see, take actions they are not authorized to take, leave no records, and hallucinate when they lack the right data. Governance turns rogue agents into governed digital employees. See example governed agents for what this looks like in practice.

How does ContextGate control what agents can do?

ContextGate enforces policy-based controls on every agent action: which MCP tools an agent can call, which data sources it can read, which workflows require approval, and which outputs are blocked or redacted. Policies are versioned and applied consistently across every model and connector.

How does ContextGate protect sensitive data?

ContextGate detects and redacts PII (emails, phone numbers, account numbers, SSNs, custom patterns) across inputs, tool payloads, model calls, and results — before sensitive data is exposed to a vendor model or stored in logs. See the privacy policy for how we handle data.

Does ContextGate support MCP and tool access?

Yes. ContextGate is an MCP-native governance layer. Agents discover tools via MCP, and ContextGate brokers every tool call with policy checks, redaction, and audit logging — across 2,000+ pre-built connectors or any MCP server URL.

How does ContextGate reduce hallucinations?

Hallucinations spike when agents cannot reach the right grounded information. ContextGate gives agents safe, governed access to company data via a zero-copy SQL engine — so they answer with real data instead of guessing — while keeping every retrieval under policy controls.