Data Mesh for Agents

Give approved agents secure, governed access to data that would otherwise remain out of reach.
Data stays local. Owners control its use. Every agent action is governed.

See How It Works

The Missing Layer for Enterprise Agents

Traverso enables approved agents to use data that would otherwise remain inaccessible across systems, business units, and partner environments.

Unlike traditional platforms, each data owner controls what an agent may access, how the data may be used, what actions the agent may take, and what results may leave the environment.

This is Cross-Organizational Agentic AI—secured and governed by Traverso.

The Cost of the Agent Governance Gap

Agents stop at organizational boundaries when data owners cannot control their access, use, and actions
Organizations must expose, copy, or withhold data because existing systems cannot govern Agents inside partner environments
Data owners cannot control returned results, repeated queries, Agent behavior, or unintended disclosure
Cross-enterprise AI remains manual and fragmented, limiting automation, coordination, and auditable execution

The Traverso Self-Governing Data Mesh

Enabling Agents from one organization to move into another organization to use their data securely while preventing misuse

Publisher Defines

Approved data and agents
Access and use policies
Permitted agent actions
Output and audit rules

Traverso Governs

Verifies every request
Enforces data-use policies
Controls agent activity
Audits every action

Results Delivered

Validated insights only
Source data stays in place
Agent actions stay controlled
Access remains revocable

Traverso Platform Components

Protected by two patent families covering making data "self-governing" and
federated cross-organizational Agent execution with Zero-Trust

Infrastructure Components

Central Data Mesh: Coordinates Agents, policies, and data use
Strongholds: Control execution near protected data
Data Catalog: Defines approved data and permitted use
Sandbox: Safely design and test Agent behavior

Governance Layer

Secure Results Room: Governs returned results
Strongholds: Enforce data and Agent policies at runtime
Private Network: Secures cross-boundary Agent activity
Audit System: Records data use, actions, and results

Data Stays Local

Governed data use without movement

Agents Stay Controlled

Every action policy-enforced

Zero-Trust End-to-End

Complete security and compliance

Fully Auditable

Data use and actions recorded

Built for Supply Chain. Extensible Beyond It

Supply Chain Coordination

Agents use approved granular production, allocation, and logistics data to simplify operations

Cross-Enterprise Fraud

Agents coordinate approved risk signals across institutions while each owner controls data use and returned results.

Healthcare Coordination

Agents use approved clinical and operational data across providers under local security, privacy, and activity controls.

Research Collaboration

Agents analyze distributed research data while each organization governs access, use, activity, and disclosed results.

Vendor Management

Agents verify obligations and performance across partners while data and permitted actions remain owner-controlled.

Cybersecurity Intelligence

Agents coordinate approved threat signals across organizations without exposing protected infrastructure or unrestricted data.

Ready to Govern Agents Across Your Supply Chain?

See how Traverso secures Agent activity and governs data use across organizational boundaries.

See Traverso in Action

Agents Need Governed Access

Planning tools and AI need secure data use and controlled activity across boundaries

What You Have

Enterprise systems, models, Agents, APIs, and EDI

Planning tools, models, Agents
APIs, EDI, and integrations
Enterprise systems and data

What is Missing

Governance across independent environments

Control over how Agents use data
Control over what Agents can do
Control over results that leave

What Traverso Adds

Secure access to otherwise inaccessible data

Agents run in governed environments
Data use stays owner-controlled
Every action and result is governed

The Traverso Difference

Old Way: Move Data to AI

Partner A

Centralized Data

Partner B

Data Copied

Partner C

Limited Control

Data leaves owner control
Agents cannot follow local rules
Copies increase exposure and risk

Traverso: Move AI to Data

Partner A

Agent securely uses protected data

Partner B

Agent securely uses protected data

Partner C

Agent securely uses protected data

Data stays under owner control
Agents reach otherwise inaccessible data
Only approved actions and results occur

Your Agents. Traverso Governs Their Work

Securing and governing data use and Agent activity across organizations

A Different Layer for Agents

Existing technologies connect systems, protect data, or help agents execute

Traverso adds the security and governance layer that lets approved agents use
protected data across organizational boundaries—under each data owner’s rules

Capability

Traditional EDI/APIs

(Limited Data Sharing)

Encrypted Compute

(HE, SGX, PETs)

Data Clean Rooms

(AWS, Snowflake)

Traverso
(Self-Governing Data Mesh)

Granular Data Control (per atom, per agent)

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Real-Time Cross-Org Access

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Data Stays in Place

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Zero-Trust Architecture

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Cross-Organizational Agentic AI

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Need-to-Know Policy Enforcement

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Agentic AI Support

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Complete Audit Trail

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Full Support

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Partial Support

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Not Supported

Put Previously Inaccessible Data to Work

Where Existing Technologies Fit

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Traditional EDI/APIs

Built for defined transactions

EDI and APIs remain essential for POs, shipments, invoices, and known services. But each connection must be predefined; they do not govern open-ended Agent activity, data use, and results across independently controlled environments.

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Confidential Computing

Protects compute, not the full workflow

Confidential computing can protect data during selected computations. It does not by itself define which Agents may enter eachenvironment, how they may use data, what actions they may take, or which results may leave.

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Data Clean Rooms

For pooling data, not roaming Agents

Clean rooms support controlled analysis of pooled or replicated data. They do not let each owner govern an external Agent operating near live source data, restrict its actions at runtime, and control every result returned.

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Agent Sandboxes

Isolate execution, not cross-org governance

Sandboxes give Agents isolated environments to run code, tools, and processes to protect the host environment from untrusted execution. But they do not determine which partner data an Agent may use, what actions the data owner permits, or what results may leave that environment. Traverso adds that cross-organizational governance layer.

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Privacy-Enhancing Tech

Valuable controls, not full orchestration

Privacy-enhancing technologies address important disclosure and computation risks. They do not provide one operating layer that authorizes Agents, governs their use of data, controls their actions, validates results, and records the full workflow.

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Agent Harnesses

Build Agent behavior, not owner control

Agent harnesses connect models to tools, helping developers shape how an Agent reasons and acts. But the harness is controlled by the Agent builder—not every data owner whose environment the Agent enters. Traverso independently enforces each owner’s policies for data use, Agent activity, and returned results.

Governing Cross-Organizational Agentic AI

We invert the control model

Instead of moving protected data to an Agent, Traverso lets approved Agents operate where the data lives.
Each owner governs data use, permitted actions, execution boundaries, and the results allowed to leave.

Granular Control

Each owner controls the data an Agent may use and the actions it may take

Data Sovereignty

Source data stays local. Owners control use, activity, and returned results

Governed Coordination

Agents work across environments under enforced policies and complete audit

Learn How Traverso Governs Agents

Zero Trust Governance for Agentic Supply Chains

Traverso enables approved Agents to securely use governed data across systems and organizational boundaries
without moving the source data or surrendering owner control

Keep Supplier Data Local

Supplier information stays inside its owner's environment. Approved Agents use permitted pricing, capacity, or inventory data without copying source records into another company's systems.

Full Agent Activity Visibility

See every request, data use, action, policy decision, and returned result across the network. Maintain a complete audit trail for oversight, compliance, and dispute resolution.

Protect Partner Control

Each partner decides which Agents may operate, what data they may use, what actions they may take, and what results may leave—preserving trust across the network

Policy-Enforced Compliance

Apply trade, export, regulatory, and contractualrules to data use and Agent activity at runtime. Each partner's policies remainenforceable, visible, and auditable throughout execution.

Secure Multi-Party Execution

Enable approved Agents to coordinate across independently controlled environments without pooling source data. Each owner retains control while governed results support existing planning and decision systems.

Avoid Unnecessary Data Copies

Let approved Agents use current data where itresides instead of maintaining duplicate partner datasets. Owners retain control while downstream systems receive only policy-approved results.

Put Previously Inaccessible Data to Work

See how Traverso lets approved Agents securely use protected data across organizational boundaries

Thank you!

We'll be reply shortly to discuss how Traverso can transform your cross-organizational coordination

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Self-Governing Data Mesh for Agents