Eleven systems. Eleven schemas. No shared context.
Every relationship type is managed in its own system, by its own owner, on its own cycle — eleven sources of truth that never reconcile.
Machine identities outnumber humans 45:1–82:1. Non-employees are roughly 48% of the corporate network.
Gartner · CyberArk 2025 · S&P Global 2024
Eleven silos. Then one layer.
Eleven schemas, eleven owners, eleven reconciliation cycles. That is why answers take weeks, and why the same spend repeats in every silo.
idGenius integrates with every one of the eleven.
idGenius integrates with the IGA, HRIS, GRC, vault, EDR, cloud, CMDB, VMS, PMO, document and TPRM systems these eleven classes already live in — more than 2,000 integrations for discovery, read in place, no migration. The silos stay; the shared context is new.
One schema resolves all eleven — read in place, no migration.
We start at the identity level. We operate at the relationship level.
Initial landing: third-party risk. Every trace works the same way — from a vendor, a project, a dataset, or an agent, not only from an identity.
One ontology, three entity classes — the schema that carries it is on Platform.
Governed on day one, or identity debt later.
Every AI agent you spin up today either gets governed from day one — or becomes identity debt you unwind later.
Identity stops being a login problem. It becomes how you reason about every actor in the enterprise.
Advisors who have run the estates we govern.
Seven advisors across identity, security, consulting and enterprise IT.
