Entity relationship mapping
See the chain from an organisation to a device to an agent to a single proof.
Trust Graph & Evidence Fabric
Relationships, scores and an audit trail you can hand over.
Trust Graph maps how entities relate — who vouched for whom, which agent acts for which organisation, which proof depends on which identity — and scores those relationships. Evidence Fabric stores the hash-chained record behind every node and edge, exportable as an audit package.
Built for: Risk, audit and data teams that need to reason about trust across an entire estate.
Capabilities
Propagated trust scores
Scores account for relationships, so a compromised node degrades everything downstream.
Hash-chained storage
Evidence is appended, never overwritten, and every entry is chained to the one before it.
Audit export
Produce a self-verifying evidence package for an auditor, regulator or counterparty.
What you get out of it
- Understand blast radius before you have to explain it
- Deliver audit evidence as a download instead of a project
- Score counterparties on verified behaviour, not questionnaires
Try it right here
This runs the real logic on our servers — no account, no canned responses. Demo runs are not stored and use a published demo signing key; your tenant uses rotating ML-KEM-1024 material.
Trace a trust path
A sample graph of an organisation, its people, workloads, agents and counterparties. Ask whether trust reaches a node and the graph answers with the path and the weakest edge.
Nodes in this graph: org:acme, person:cfo@acme, workload:ledger-api, agent:settlement-07, counterparty:globex, bank:first-national
How it fits the platform
Trust Graph and Evidence Fabric are the memory of the platform: they connect identities, proofs, agents and incidents, and turn the whole history into an exportable audit package.
See the four-step platform flow →Pricing
Trust Graph & Evidence Fabric is included from the Sovereign plan at $999 / month, with every higher plan including it too. Verification is never charged per check — plans differ on volume, retention, autonomy and governance.