The Visibility Layer

Discovery Visibility Layer · AI Trust Infrastructure

Discover every AI system. Understand how it all connects.

Organizations cannot govern AI they cannot see. Discovery continuously finds the AI running across your enterprise, maps how it is connected, and builds a living AI Trust Graph — the visibility layer of the AI Trust Infrastructure.

— Why Discovery exists

You can’t govern what you can’t see.

As AI agents, copilots, large language models, autonomous workflows, and AI-powered applications spread across the enterprise, visibility becomes increasingly difficult. New AI systems can appear without centralized oversight — creating security, compliance, and governance blind spots.

Discovery is the visibility layer of the AI Trust Infrastructure. It continuously discovers the AI operating across your organization, identifies how systems are connected, and builds a living AI Trust Graph that stays current as your environment changes.

Rather than relying on manual inventories or self-reporting, Discovery automatically identifies AI assets, maps their relationships, analyzes potential risks, and prepares them for governance within SARVA.

— What it does

Discovery continuously identifies and maps every kind of AI in your enterprise.

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
— AI Trust Graph

A living system of record for your enterprise AI.

Every discovered AI system becomes part of a continuously evolving AI Trust Graph — one current map of what exists and how it all relates.

AI systems
Models
APIs
Vendors
Data sources
Relationships
Execution paths
Trust boundaries
Ownership
Governance status
Historical evolution
— Enterprise intelligence

Not an inventory. An understanding.

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

What AI exists?
How are AI systems connected?
Which AI can access sensitive information?
Which AI communicates with external providers?
Where is risk being introduced?
How has the AI environment changed over time?
— From discovery to governance

Discovery is the first step in the lifecycle.

Once AI systems and execution paths are discovered, they are handed to SARVA for governance — and every decision and change is recorded in COSMOS.

Discovery · Visibility

Sees what exists

Finds and maps every AI system, building the living AI Trust Graph.

SARVA · Governance

Decides what’s allowed

Evaluates trust, applies policy, and sets the right level of oversight before important AI actions occur. Explore SARVA

COSMOS · Coordination & Evidence

Proves what happened

Records every discovery event, decision, and change in a tamper-evident ledger. Explore COSMOS

— The lifecycle

Discover. Understand. Govern. Prove.

01

Discover

Every AI system across your enterprise.

02

Understand

How it is connected and where risk lives.

03

Govern

Every important AI decision, via SARVA.

04

Prove

Every AI action, recorded in COSMOS.

You can’t govern what you can’t see.

Start with visibility. See the AI already running across your enterprise.

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