Why Starfort: the AI risk hierarchy
Starfort exists because AI risk is not one undifferentiated problem. It ranks into three tiers, and each tier is handled differently — this ordering is what justifies “enforce centrally, optimize locally.”
This maps onto a two-team responsibility split: the Security team owns AI Security risk, the AI Governance team owns Service/Quality risk, and the two jointly own Regulatory risk. Starfort is built to support exactly this collaboration — the most critical policies are enforced from the center, while teams keep the freedom to tune for quality.
How Starfort is used
There are three entry points, each providing a different level of control. They share the same Guardian engine and policies.API — service level
Internal/external services (backends, chatbots) embed guardrails by calling the Guard API before/after their model.
Desktop Agent — device level
Employees use everyday AI tools while the Desktop Agent (Windows) transparently enforces policy on the endpoint.
Proxy Server — infrastructure level
AI calls made at an external service’s server-side entry point are routed through Starfort.
What Guardian does to a request
Every piece of content is evaluated against your Guard Policies and assigned an action. The action set depends on the policy type:PASS
Content is allowed through unchanged.
MASK
Sensitive spans are replaced with tokens (e.g.
[PHONE_NUMBER_1]) — PII policies.BLOCK
The request is stopped before it reaches the AI service.
Core ideas
Guardian
The engine that inspects content and decides the action.
Stratum
The module that grades files and governs external transfer.
Guard Policy
The PII and Topic rules a Guardian enforces.
Module Instances
The two axes — Project Type × module — plus entitlements and the Kill Switch.
Organization hierarchy
Company › Organization › Project, and how Guardians attach to projects.
Glossary
Definitions for every Starfort term used in these docs.
What’s new in v1.4
- Stratum — the file (document) grading module — classifies documents as Confidential / Internal / General, produces a masked copy and re-grades it, and routes external transfer to auto-finalized / gray zone / blocked based on grade and confidence. Gray-zone and Confidential verdicts go to human secondary review. See Stratum.
- The module instance model — generalizes the “Project Guardians inside a project” resource model into module instances. Project Guardian and Project Stratum coexist as peer instances, module usage rights are governed by entitlements, and emergency stops work per module instance via the Kill Switch. See Module Instances.
- Processed-content egress — the content that leaves for external AI services is now the processed content Guardian verified and rebuilt, never the caller’s original. Even on PASS, the original doesn’t go out directly. See Actions: PASS / MASK / BLOCK.
This documentation covers Starfort v1.4. Product names — Starfort, Guardian, Stratum, Guard Policy, Rule Package, Taxonomy, Guard API, Opticon, Control Profile — are kept in English across all languages.