Secure connectivity, access control, and auditability
across enterprise data and systems.
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Business teams want AI now. IT needs to enable it across existing systems while limiting what agents can read, change, and do.
Those limits must be enforced on every request.
Enterprise permissions reflect a person’s role or an application’s needs. Giving an agent more access than its task requires creates unnecessary risk. Access must be limited to the specific records, fields, and actions it needs.
Agents choose their path dynamically, deciding which systems to query and which actions to take based on what they find. Access controls must therefore be enforced inline at runtime, on every request across systems.
When access and governance depend on centralizing data, AI adoption waits on migrations, pipelines, and policy setup. Business teams need live data across the databases, warehouses, and applications already in place.
MarcoPolo sits in the access path between AI agents and enterprise systems. It connects to data where it lives, enforces your policies on each request, and records what agents accessed and did.
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Connect AI agents and applications to enterprise data, APIs, and systems without moving or replicating the underlying data. Start with the systems already in place. Keep credentials out of model context.
Explore secure connectivityEnforce task-specific access policies within enterprise permissions at runtime. Apply fine-grained access controls to the records, fields, and actions needed for the task, within enterprise permissions.
Explore access controlProvide visibility and evidence of what agents accessed, under whose authority, and what actions they performed. Trace access across enterprise systems with identity, action, and outcome in one activity history.
Explore auditabilityFine-grained access controls based on the user’s permissions and the policies for the task.
The agent can investigate the discrepancy. Investigation access does not authorize a payment change.
Find why these payment records don’t match the ledger.
| Reference | Amount | Date | Payee account |
|---|---|---|---|
| PAY-20928 | $2,310.00 | Nov 4 | |
| PAY-20931 | $4,120.00 | Nov 4 | |
| PAY-20936 | $880.50 | Nov 5 | |
| PAY-20947 | $12,000.00 | Nov 5 |
The agent can investigate the discrepancy. Investigation access does not authorize a payment change.
Find why these payment records don’t match the ledger.
| Reference | Amount | Date | Payee account |
|---|---|---|---|
| PAY-20928 | $2,310.00 | Nov 4 | |
| PAY-20931 | $4,120.00 | Nov 4 | |
| PAY-20936 | $880.50 | Nov 5 | |
| PAY-20947 | $12,000.00 | Nov 5 |
The agent can prepare the brief with the business data it needs. Personal contact details and record changes stay outside its scope.
Summarize open deals and support issues for my region’s accounts.
| Account | Deal value | Open issues | Contact |
|---|---|---|---|
| Northwind | $84,000 | 2 | |
| Halcyon Labs | $22,500 | 0 | |
| Brightline | $9,800 | 3 | |
| Oakridge | $41,200 | 1 |
The agent can resolve the ticket with the order history it needs. Card details and refunds stay outside its scope.
Find out why this customer’s order shipped late and draft a reply.
| Order | Status | Shipped | Card on file |
|---|---|---|---|
| #A-77120 | Delivered | Nov 6 | |
| #A-76981 | Delivered | Oct 28 | |
| #A-76455 | Returned | Oct 12 | |
| #A-75902 | Delivered | Sep 30 |
The agent can answer from the employee’s own record and the plan policy. Other employees’ records stay outside its scope.
How many vacation days do I have left, and does my plan cover dental?
| Item | Balance | Policy | SSN |
|---|---|---|---|
| Vacation | 11 days | PTO 2026 | |
| Sick leave | 5 days | PTO 2026 | |
| Dental | Covered | Plan B | |
| Vision | Covered | Plan B |
The agent can trace the incident across sign-in logs and devices. Credentials and access changes stay outside its scope.
Which devices signed in with this account after the 02:14 alert?
| Device | Location | Time | Session token |
|---|---|---|---|
| MBP-4471 | New York | 02:16 | |
| iPhone-209 | Brooklyn | 02:21 | |
| WIN-8830 | Dallas | 02:47 | |
| MBP-4471 | New York | 03:05 |
Architecture, security controls, and deployment documentation to support your security review.
Deploy in your own cloud or on premises, in the region you choose, to meet your data residency, security, and compliance requirements.
Connect your enterprise identity provider for single sign-on. Keep identity and application access managed through your existing IT controls.
Keep source permissions in the systems that own them, including Snowflake and Databricks. Configure additional task restrictions in MarcoPolo; they can narrow access but cannot expand those permissions.
Bring agent activity into your logging and SIEM tools through OpenTelemetry. Trace identity, connection, action, and outcome alongside your existing operational records.
Security brief and compliance documentation on request · Trust & security →
Your enterprise defines its governance policies. Source-system permissions remain authoritative. Configure additional task-specific restrictions in MarcoPolo; they narrow access on every request and cannot expand existing permissions.
No. MarcoPolo connects to the systems where your data already lives. It does not require a new warehouse or replicated data store. Query results may be processed or cached during a request; this is distinct from replicating the underlying source data.
AI assistants connect through MCP. Custom agents and applications can use the Python SDK or REST API. These interfaces use the same runtime for secure connectivity, access control, and auditability.
Walk through your systems, access policies, and audit requirements with the MarcoPolo team.
