Tenant-isolated Signing Environment

What is a Tenant-isolated Signing Environment?

In traditional SaaS e-signing, data is often stored in a shared infrastructure where only software-level permissions prevent one user from accessing another's data. A tenant-isolated signing environment goes significantly further by creating a document container for every transaction.

When a recipient opens a secure signing link, they enter a controlled space where the AI tools provided are specific to that "tenant" or organization.

This setup is crucial for meeting "Privacy by Design" standards, such as those emphasized in the ENISA technical guidance. By bringing the AI to the data—rather than forcing the data to leave the platform to find an external AI—the organization maintains total control over the environment. Even if a counterparty is a "Shadow AI" user, they are provided with an internal tool that is just as efficient as public versions but operates within the organization’s security perimeter.

Why Isolation is Necessary (Facts & Statistics)

Organizations are increasingly moving toward isolated environments due to the failure of policy-only governance:

• Weak SSO Enforcement: Data from LayerX (2025) shows that 83% of ERP and 71% of CRM logins bypass Single Sign-On (SSO), making corporate accounts essentially as vulnerable as personal ones. Isolation ensures data is protected regardless of login weakness.
• The Policy-Action Gap: While many companies have AI policies, 67% of employees in organizations that ban GenAI still use it inappropriately. A tenant-isolated signing environment closes this gap with architecture, not just rules.
• Visibility Deficiency: Only 13% of enterprises report strong visibility into how AI is used. Isolated environments provide a dedicated audit trail of every AI interaction within the signing flow.
• Regulatory Readiness: Only 11% of organizations feel fully prepared for regulations like the EU AI Act or NIS2. Isolation is a recognized technical measure for supply chain security and risk mitigation.

Practical Scenario: Defense Procurement and “Mildef”

Consider a defense contractor or a military-grade SMB (Mildef) sending a procurement contract to a supplier.

• The Risk: The contract contains technical specifications that are trade secrets. The supplier's procurement officer, lacking AI training, might paste these specs into a public LLM to create a compliance checklist.
• The Intervention: By using a tenant-isolated signing environment, the officer is given a private AI assistant in signing that has already "read" the contract in a secure sandbox.
• The Result: The officer creates their checklist inside the document container. The data never leaves the tenant, and the defense contractor fulfills their NIS2 supply chain security obligations because they controlled the environment, not just the document.

FAQ

What is the "no training guarantee"?
In a tenant-isolated environment, the AI model is forbidden from using your inputs to learn or train. This prevents your proprietary contract terms from accidentally appearing in a prompt response to a competitor using the same public AI.

How does this differ from "Opt-out" promises?
"Opting out" on public platforms often still leaves data in logs or accessible to the platform provider for a period. Tenant isolation ensures that the data stays within your specific jurisdictional boundary (e.g., EU-only hosting) and is under your exclusive control.

Is isolation compatible with mobile signing?
Yes. Modern secure signing links are designed to be mobile-responsive, allowing the isolated AI sandbox to function on any device without requiring the user to download third-party apps or leave the secure session.