Contextual Data Enforcement for Enterprise AI

The Challenge

AI Adoption Is Outpacing Data Control

 

Enterprises are connecting AI clients like Claude, ChatGPT, Copilot Studio, and Perplexity to Microsoft 365, SharePoint, Google Drive, and other data repositories.

 

Native connectors make this easy. But they typically return what the user can access, not what the AI should be allowed to retrieve or use.

 

That creates a dangerous gap between access and control.

 

Sensitive data can flow into AI context windows, responses, and workflows without content-level inspection, policy enforcement, or visibility.

 

Native permissions answer one question:

 

Can this user access the data?

 

Enterprise AI creates a harder question:

 

Should this data be available to AI in this context?

The Solution

Content-Aware Enforcement Between AI and Enterprise Data

 

Bonfy Contextual Data Enforcement adds a transparent control layer between AI clients and enterprise repositories.

 

As AI retrieves data, Bonfy inspects the content in context and enforces policy before it reaches the AI client.

 

Bonfy preserves existing identity and access permissions. It never expands user access.

 

Instead, it adds the missing content-level control, so organizations can adopt AI faster while protecting sensitive, regulated, and customer-confidential data.

 

Looking specifically at Claude?

 

How Bonfy Solves the Problem

Govern What AI Can Retrieve Before It Reaches the Model

 

Replace the Native Connector

Users or administrators replace the native AI connector with Bonfy’s secure connector.

 

For example, instead of connecting an AI client directly to Microsoft 365 or SharePoint through the native connector, the organization routes that connection through Bonfy.

 

From the AI client’s perspective, the experience remains familiar. The same type of request is made, the same repository is accessed, and the same workflow continues.

 

But now Bonfy is in the data retrieval path.

Preserve Identity and Permissions

Bonfy calls the same underlying APIs, such as Microsoft Graph API or Google Drive API, on behalf of the user.

 

Existing user authentication and access permissions remain intact. If the user does not have access to a file, Bonfy does not expose it.

 

Bonfy does not replace identity or access control. It adds content-level enforcement on top of it.

Inspect Content in Context

As content flows back from the repository, Bonfy inspects it before it reaches the AI client.

 

Bonfy analyzes:

  • extracted text
  • file metadata
  • sensitivity labels
  • PII and regulated data
  • confidential classifications
  • customer, employee, partner, or business entities
  • policy-defined categories
  • business context and entity relationships

 

This allows Bonfy to evaluate not only what the content contains, but whether that content should be available to AI in that specific context.

 

Enforce Policy Before AI Use

Based on policy, Bonfy can allow, block, redact, label, log, or escalate the content before returning a response to the AI client.

 

Permitted content flows through.

 

Restricted content is stopped or handled according to policy.

 

The AI receives a clean, policy-compliant response. Security teams gain visibility, auditability, and control.

Assess Your AI Data Access Risk

Are Native Permissions Enough for Enterprise AI?

AI clients can retrieve sensitive data as soon as they connect to enterprise repositories.
Bonfy’s Data Security Risk Assessment helps teams identify gaps in visibility, governance, and control before those gaps become AI exposure risks.

Advanced Capabilities

  • Content-Level Policy Enforcement

    Control what AI can retrieve based on what is inside the content, not just file permissions or user access.

    Bonfy enforces policies for PII, regulated data, customer-confidential content, sensitive classifications, legal records, financial data, intellectual property, and custom business rules before data reaches the AI client.

  • Transparent Deployment

    Add enforcement without changing the end-user workflow or deploying new infrastructure.

    Bonfy provides a secure connector path between AI clients and enterprise repositories, allowing organizations to govern AI data access through a simple connector change instead of a gateway rollout or architecture overhaul.


  • Entity-Aware Context

    Go beyond basic classification by understanding the people, customers, consumers, partners, and business relationships behind the data.

    Bonfy distinguishes generic information from sensitive entity-specific content, helping teams enforce policies based on business context, not just keywords, patterns, or file locations.


  • Auditability and Security Operations Support

    Gain visibility into what AI systems requested, what was allowed, what was blocked, and why.

    Bonfy creates an auditable record of AI data access activity and can support compliance reporting, customer assurance, investigations, and escalation to security operations workflows.

     

Key Benefits of Bonfy ACS™

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Accelerate AI Adoption Safely

Enable employees to use high-value AI tools while reducing the risk of sensitive data flowing into AI systems without control.

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Govern What AI Can Retrieve and Use

Move beyond native permissions by enforcing content-aware policies before enterprise data reaches AI clients.

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Protect Sensitive and Customer Data

Prevent PII, financial records, legal documents, customer-confidential data, and regulated content from entering AI workflows when policy does not permit it.

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Demonstrate Compliance to Clients and Auditors

Provide evidence of technical controls for AI data governance, not just policy documents or acceptable-use guidelines.

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Reduce Incident Exposure

Stop sensitive data from silently entering AI context windows, responses, memory, or downstream workflows.

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Deploy Without New Infrastructure

Add enforcement through a secure connector path, without deploying new gateways or redesigning the enterprise architecture.

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Land With a Focused Use Case, Expand Over Time

Start with AI data access control for a specific client or repository, then expand into broader Bonfy platform capabilities across email, files, SaaS apps, collaboration tools, browser flows, and AI workflows.

Ready to Control What AI Can Use?

Bonfy Contextual Data Enforcement helps organizations safely connect AI clients to enterprise data without relying only on native permissions.

See how Bonfy puts content-aware enforcement between AI and your most sensitive data.

Bonfy Resources

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Case Study

Read how a global financial institution used Bonfy ACS to secure its Microsoft Copilot instance. 
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Day in the Life

Find out how CTOs, CISOs, Commercial Lawyers, Support Engineers, and VPs of Exploration use Bonfy ACS to do their jobs better.
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Datasheet

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