Your sensitive files are a giant target. Make them a hard one.

Stellarbridge gives your team one governed system for the full file lifecycle — enforced policy determines what your team, your vendors, and your AI can do with sensitive files before they ever get the chance to do it.

Stellarbridge gives your team one governed system for the full file lifecycle — enforced policy determines what your team, your vendors, and your AI can do with sensitive files before they ever get the chance to do it. When you plug an AI tool into Google Drive or SharePoint, it typically inherits the full integration: broad access, weak blast-radius control, and actions attributed to the connecting user. Stellarbridge treats AI agents as first-class governed identities with explicit scope and audit trails that separate human activity from agent activity.

One system. Every actor. Every file action.

Most tools were built for collaboration first and retrofitted with controls later. Stellarbridge is built the other way around — policy is the foundation, and everything else sits on top of it. That means every file action, by anyone, passes through the same enforcement layer before it happens.

userAGENTAPIVENDORPOLICY ENGINEPENDINGAUDIT LOGuser ALLOW :02AGT DENY :05API GATE :07VND ALLOW :10

Files live here

Most file storage and collaboration tools were designed for broad access and ease of sharing. Stellarbridge is the storage layer, not an overlay on top of one. Sensitive files have one home where everything that happens to them is governed from the start.

Policy decides what's allowed

Before any actor — your team, a vendor, an AI agent — can do anything with a file, the policy engine decides whether that action is allowed, denied, or needs a human to approve it first.

Every action is on the record

Not just who accessed what, but what they tried to do, whether it was allowed, and when. The audit trail is built into the system, not bolted on afterward.

Two architectures.
Only one closes the gap.

Generic file tools were built for reach. You need a system where sensitive data is the default — not an exception patched on afterward.

Retrofitted

After the fact

Convenience first. Controls where you can glue them.

  • Share wide, then tighten Policy chases reality
  • Controls float above storage Two sources of truth
  • Truth arrives in logs If you are looking
Stellarbridge

Before it happens

Policy, storage, and audit share one spine.

  • Access from zero Only policy opens doors
  • One enforcement layer Same rule for every actor
  • Denied before it happens Every try is on the record

If it was built for everyone’s workflow, it was not built for your regulated files.

Operator-led

Built by people who have lived through the audits.

Stellarbridge was built by a team with direct experience engineering security programs under real compliance requirements — not as consultants, but as operators responsible for the outcome. Meet the team for CMMC, defense, and program background.

How we think about risk

Security by subtraction

Most security tools add controls on top of complexity. We take the opposite approach: eliminating entire classes of risk at the architecture level rather than managing them after the fact. Fewer moving parts means fewer things that can go wrong, and fewer things an attacker can reach.

What do I do next?

Ready to see it in action?

Whether you're ready for a live walkthrough or just starting to evaluate, there's a low-friction next step for where you are right now.

Book a Demo

Walk through the policy engine, audit trails, and deployment options with our team. We'll map Stellarbridge to your specific compliance requirements and workflows — not a generic slide deck.

Typical response: within 1 business day.

Review Security Documentation

Not ready for a demo yet? Create a free account at our Trust Center to access security documentation, compliance reports, and submit security questionnaires directly.

Typical turnaround: within 8 hours.

A control stack built for serious data—and serious AI rollouts.

One policy engine for people and agents. The AI row is the architectural bet; everything else is how you run it at scale.

AI & agent governance

Same enforcement model for humans and agents—not a separate “AI SKU” bolted onto permissive storage.

  • Own agent identities
  • Allow · deny · gate
  • Human vs agent audit
AI governance use case

FAQs

Common questions, direct answers.

If you are evaluating Stellarbridge for a regulated workflow, start here. We can provide deeper security documentation after a demo.

Request security details

Typical response: same-day.

built in america, for america