Safe Execution for AI Agents Across Enterprise Systems

Agents can access data and take action across enterprise tools through a controlled, auditable, and multi-tenant platform. This is how AI agents move from demos to production.

One Execution Layer for AI Agents Across Tools and Categories

Instead of wiring agents directly to dozens of vendor APIs, Unizo exposes a single execution layer that agents interact with through MCP.

AI Agent / LLM
MCP

Unizo Execution Layer

Scoped execution
Policy checks
Audit trail
Tenant isolation
Identity
Ticketing
Cloud
EDR
+ More

Category-Level Servers

Agents connect to category-level MCP servers, not individual tools

Consistent Semantics

Execution semantics stay consistent across vendors

Decoupled Logic

Tools can be added or changed without modifying agent logic

Your agents reason once.

Execution stays centralized and controlled.

What Makes Unizo's MCP Different

Unizo's MCP implementation is designed for real security and operations products, not experimental agents.

Generic MCP

Tool-level servers
Direct execution
No built-in audit
Single-tenant assumptions

Unizo MCP

Category-level servers
Scoped execution
Full audit trail
Multi-tenant by design

Execution with Guardrails

AI agents need more than context. They need a safe way to act.

1

Agents retrieve normalized data through MCP

2

Reasoning happens in your AI system

3

Actions flow back through Unizo's execution layer

Before anything is executed:

Permissions are validated
Policies are enforced
Scopes are checked

Agents can act, safely and within policy.

How Engineers Use It

Unizo's MCP servers sit between AI agents and enterprise systems.

Typical flow:

1

An AI agent connects to Unizo via MCP

2

The agent queries context or requests an action

3

Unizo validates tenant, scope, and policy

4

Execution is performed against underlying tools

5

Results and audit events are returned

Security and Control, Built In

Unizo's MCP execution layer is designed to address real concerns around agent safety.

Scoped Permissions

Per agent and per action

Policy Checks

Before every execution

Full Audit Trail

Every decision and action logged

No Direct Credentials

Agents never access vendor credentials

Inherited Guarantees

Unizo credential handling and isolation

This allows AI systems to operate with enterprise-grade accountability.

Deploy Agents the Same Way You Deploy Unizo

The MCP execution layer works across all Unizo deployment models.

SaaS
Private Cloud
Embedded / On-Prem

Multi-tenant behavior, isolation, and access control remain consistent regardless of deployment.

Built for Real Products, Not Demos

Unizo enables AI agents that:

Operate across real enterprise systems
Take meaningful action
Remain controlled, auditable, and reliable

This is infrastructure for production-grade agentic workflows.

Bring Agents into Production Safely

Use Unizo's MCP execution layer to power AI-driven workflows without sacrificing security or control.