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Manage Permissions for Apps, People, and AI from One Place

Monospace governs what people, AI agents, and apps can read and write through one set of rules, rather than separate permissions in every system. Access is defined once, resolved on every request, and managed in one place.

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Teams want to move fast with AI. But can they do that safely?

No scoped access

Employees are granted all-or-nothing access to company systems.

Some MCP servers scope access properly, many don't. You end up with a different answer per system (often all-or-nothing) and no way to enforce policies consistently across them.

No guardrails on data access

AI tool calls pass through third-party systems with limited to no enforcement of what data is included.

Permission to call a tool is permission to see everything it returns. Nothing inspects the response and removes the rows or fields the caller shouldn't be exposed to.

Shadow AI

If employees connect AI tools to live data sources or their own, the company has no way to track or manage those connections.

People connect their own AI tools to company systems without anyone knowing. There's no list of who's done it, what they connected, or what it can reach.

No audit logs

No record of what happened or what data was shared.

Each system keeps its own log, under whatever credential the tool connected with. There's no one place showing what an agent did, or on whose behalf it acted.

How It Works

Monospace sits in front of the systems.

People, apps, and agents reach your data through Monospace instead of connecting to the databases themselves.

Every caller has its own identity.

A person, an application, or an agent each connects with its own key, scoped and revocable on its own.

Rules are written once.

Roles carry policies, and policies define permissions down to the collection, the field, and the rows a caller is allowed to see.

Access & Permissions

Every request is checked and recorded.

Access is resolved on each request, and the action lands in the audit log. Change a rule and it applies immediately.

Audit Logs

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Governed AI Access to the Systems You Already Run

Make every system available to agents.

Legacy databases, SaaS platforms, internal APIs, in-house services. Connect any source and agents reach it over one governed API, without an integration built per system.

Run AI within approved boundaries.

Define what data each employee and agent can access, providing least privileged access suitable for the use case.

Same rules for agents.

An AI agent is treated like any other user, with its own identity, access and revocable credentials.

An audit trail across everything you build.

Employees build applications on data from many systems, every action in one log.

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Self-hosting for complete control

Monospace is self-hosted, either on premises or in your own cloud account. It sits alongside the databases it connects to and queries your systems where they are, so your data never leaves your network.

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Security and Compliance are Our Foundation

Designed from the ground up to govern and safeguard your data, Monospace adhere’s to high standards and is SOC 2 Type II and GDPR certified.

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Common Scenarios

Scenario 1

A support team that needs customer records, minus the payment and salary fields

Scenario 2

Answering "what did this agent touch last quarter, and who asked it to" without joining logs from four systems

Scenario 3

Sanctioning an AI tool people are already using, rather than discovering it later

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Make governed operational data a competitive advantage.

Bring your security requirements and governance needs to us, so we can help you ship faster and with more control.

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