Exo
Exo
byAdaptive

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.

MCP Native
LLM Guardrails
Zero Trust
98+ Integrations
Exo
Problem Statement

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.

AGENT TOPOLOGY
click any agent
Governed byExo
SRE Agent
Kubernetes
Database Agent
Databases
QA Agent
VMs
Data Analytics
Databases
BI Agent
Data Warehouse
CRM Agent
HubSpot
UNGOVERNED (4)
Coding Agent
GitHubNO AUDIT
Incident Agent
AWSNO AUDIT
Web Research
Product CatalogNO AUDIT
Support Agent
KubernetesNO AUDIT
4 shadow agents with direct infrastructure access — click an agent to inspect
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.

FIG 0.1

Authentication

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

FIG 0.2

Runtime Isolation

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

FIG 0.3

Guardrails and Authorization

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

FIG 0.4

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
MCP Server 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.
Integrations
98+ Infrastructure Integrations
MCP servers, LLM providers, databases, Kubernetes, cloud platforms, and developer tools — from OpenAI to PostgreSQL to Palo Alto firewalls.

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.

Models
OpenAI
Anthropic
Gemini
DeepSeek
Mistral
Kimi
+
Agents
Claude CodeClaude Code
OpenAI Agents SDKOpenAI Agents SDK
LangChainLangChain
CrewAICrewAI
MastraMastra
Exo
Exo
Engine
PostgreSQL
MySQL
MongoDB
Redis
Snowflake
Kubernetes
AWS
Azure
Docker
GCP
GitHub
Slack
Jira
Grafana
Datadog
SSH
Kafka
Okta
Elasticsearch
MCP