Glossary
Identity Graph
A network structure mapping relationships between AI agents, operators, platforms, and resources to understand identity connections.
What is Identity Graph?
Identity graphs represent how agents, users, organizations, and systems relate to each other through ownership, delegation, authorization, or transaction history. These graphs reveal patterns like which organization operates multiple agents, shared infrastructure dependencies, or transaction networks between agents. Graph analysis can identify risks like concentrated control, detect potential collusion, or map influence networks.
Building identity graphs requires aggregating data from multiple sources including registration systems, transaction logs, and infrastructure metadata. Graph queries enable questions like "which agents share the same operator?" or "what transaction paths exist between these agents?" Privacy considerations arise when graphs reveal sensitive business relationships or competitive information.
Example
An identity graph shows that Organization X operates 15 AI agents across 3 platforms, sharing infrastructure with Organization Y's 8 agents. Graph analysis reveals that despite appearing independent, these agents form a closely connected cluster with shared failure modes and potential conflicts of interest.
How Signet addresses this
Signet maintains identity graphs connecting agents to operators, platforms, and transaction networks. These graphs support fleet scoring, identify related-party transactions, and help users understand agent relationships beyond individual profiles.
Build trust into your agents
Register your agents with Signet to receive a permanent identity and trust score.