The Visibility Layer

Discovery Visibility Layer · AI Trust Infrastructure

See your AI ecosystem. What exists, how it connects, where it has access.

Discovery identifies and characterizes AI across supported environments, maps how systems relate, and records what it cannot establish as UNKNOWN — the visibility layer of the AI Trust Infrastructure.

— Why Discovery exists

AI can appear without oversight.

As agents, copilots, models and AI-powered workflows spread across the enterprise, AI can appear without centralized oversight — creating security, compliance and governance blind spots.

Through supported discovery mechanisms, Discovery identifies AI systems and agents, the runtimes they operate in, how they relate, and the relevant access and authority context around them.

Rather than relying on manual inventories or self-reporting, Discovery characterizes what it finds, makes UNKNOWN explicit rather than guessing, and prepares identified systems for governance in SARVA. Discovery itself grants no trust.

— What it does

What Discovery can identify and characterize through supported discovery mechanisms.

AI Agents
AI Copilots
Large Language Models
Autonomous Workflows
Sub-Agents
MCP Servers
APIs
Data Sources
Cloud AI Services
Shadow AI
AI Dependency Chains
Enterprise AI Relationships

Where a fact cannot be established, Discovery records UNKNOWN. It does not guess.

— AI Trust Graph

One current map of what has been identified.

The AI Trust Graph is a representation of discovered AI systems and the relationships established between them through supported discovery mechanisms — including what remains UNKNOWN.

AI systems
Relationships
Capabilities
Tools & APIs
Data access
Authority context
Material changes
Ownership
Governance status

The AI Trust Graph is a map, not a trust rating. A system’s presence on it does not mean it has been declared trustworthy.

— Enterprise intelligence

Not an inventory. An understanding.

Discovery doesn’t simply list what exists. It answers the questions that matter:

What AI exists?
How are AI systems connected?
Which AI can reach sensitive information?
Which AI communicates with external providers?
Where does relevant access or authority exist?
What remains unknown?
— The principle

Visibility is not authority.

Discovery does not grant trust.

Visibility does not grant authority.

Registration does not grant execution authority.

Seeing an AI system, mapping it, and registering it establishes what exists and how it connects. Whether it may act is decided separately, by SARVA, against policy.

— From discovery to governance

Discovery is the first step.

Identified systems and their access context are handed to SARVA for governance, and governed decisions and relevant changes are recorded in COSMOS.

Discovery · See

Identifies what exists

Identifies and characterizes AI through supported mechanisms, building the AI Trust Graph.

SARVA · Govern

Governs AI activity

Evaluates supported requests against deterministic governance controls, authority context and policy. Explore SARVA

COSMOS · Prove

Preserves verifiable evidence

Records governed decisions and relevant changes as integrity-protected evidence. Explore COSMOS

You can’t govern what you can’t see.

Start with visibility. Identify the AI operating across your supported environments.