# Run agents with control and visibility

Isolate agents in ephemeral environments with fine-grained controls and guardrails, full visibility into every query and command, no secrets exposed — all running in your infrastructure.

## Uncontrolled agents are the next attack vector.

One compromised tool call is all it takes. Agents persist secrets in memory, escalate privileges across tool calls, and move laterally through your infrastructure with no visibility into what ran or why. Without isolation and controls, every agent is a breach waiting to execute.

### The Solution

## A runtime harness for your entire agent fleet

An architecture built for agents running in production. Authenticate every agent, broker sessions, scope privileges to the exact operation, and enforce guardrails at runtime without exposing secrets to your agents.

### Authentication

Unique identity for every agent before it touches production. No shared service accounts, no anonymous sessions.

### Runtime Isolation

Every agent session brokered through an ephemeral, sandboxed environment. Agents never see raw secrets or infrastructure credentials.

### Guardrails and Authorization

Fine-grained authorization per agent, per MCP server, per tool call. Guardrails block dangerous actions before execution.

### Auditability and Observability

Every tool call, every action tied to the agent identity. Full session replay, logs ready for SIEM and compliance.

## Features

### Manage thousands of agent sessions with full control and visibility

- **MCP security**: Scope tool permissions per agent, enforce allowlists, and gate server access with approval workflows and TTLs. No standing access to any MCP endpoint.
- **Observability**: Tool Call Auditing - Trace every tool call from prompt to response across your agent fleet. Replay any session to understand exactly what happened and why.
- **Data protection**: Context & Memory Guardrails - Redact sensitive data from agent context, enforce memory boundaries, and auto-expire context with configurable TTLs. No cross-session data leakage.
- **Model governance**: LLM Provider Controls - Gate which providers and models each agent can use. Enforce token budgets, cost ceilings, and usage tracking across every model interaction.
- **Governance**: Agent Policy Engine - Define per-agent policies for tool access, infrastructure, and LLM routing. Govern or release agents in real time — nothing runs ungoverned.

## Works with every tool your agents already use

AI systems on the left, infrastructure on the right. Exo sits in the middle — securing every connection.