Use case: AI Governance

Your AI can already access your files. Can you govern what it does with them?

When an AI agent touches sensitive data, most systems log it under a human identity — or don't log it at all. Stellarbridge treats AI agents as first-class governed identities with their own policy bindings and a separate audit trail.

If you can't tell what your AI did with a file, you can't defend it.

Where AI file access breaks down today

No visibility into agent actions AI agents read, copy, and share files under human credentials — or with no identity at all. You have no audit trail.
No policy enforcement before action Agents act first. If a policy is violated, you find out after the file has already moved.
Human and agent activity mixed together When an incident happens, you can't separate what a person did from what automation did. That gap is a liability.
SOC 2 Type 1 Certified
Agent Identity Controls
Policy-Before-Action Enforcement
TLS 1.2+ / AES-256
Managed or Self-Hosted
Problem 01 — Data Access

Limit what AI has access to so that your agents can't leak sensitive data.

If you have no hard limits on what the agents you are using can access, you will have a data breach sooner or later.

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AI Agent
📁
Scoped
📄
Permitted
🔒
Blocked
🚫
Out of Scope
Problem 02 — Sharing

Blanket sharing permissions are a breach waiting to happen.

Blanket permissions on what AI can share and who it can share with will result in data breaches, the agent misunderstanding a command, or simply hallucinating — and just like that, sensitive data gets sent to heaven only knows who.

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AI Agent
Policy Check
Approved
Logged
Blocked
Event Logged
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