Machine identities outnumber your engineers — by an order of magnitude.
Every microservice, pipeline, preview environment and AI agent gets an identity. They are created by automation at machine speed and removed by humans at human speed, which is why the gap only ever grows.
The frameworks that ask you to account for this data. Not certifications we hold.
Four things your team already knows — and cannot currently prove.
Nobody knows the real machine-to-human ratio
Estimates are consistently off by 3–4×, because workload, CI/CD and PAT identities never appear in the IGA system.
PATs bypass token lifecycle governance
Personal access tokens with no expiry sit outside Entra ID lifecycle policy entirely and grant real production reach.
Tenant isolation is asserted, not proven
Enterprise customers ask you to prove no identity can cross tenant boundaries. The answer today is an architecture diagram.
AI agents were shipped before governance existed
Copilots and agents were given identities and data access under launch pressure, and no one owns their permissions.
The same graph, pointed at your regulated data.
Every identity class discovered, including the ones IGA misses
Service principals, system and user-assigned managed identities, workload and CI/CD identities, PATs, OAuth apps and AI agents.
PAT governance as a verdict
PAT_GOVERNANCE_RISK fires on active tokens with no expiry that bypass Entra ID lifecycle governance.
Cross-boundary reach, drawn
Reachability resolved through the whole scope hierarchy, so a cross-boundary path is a finding rather than a debate.
AI agents on the same graph
Agents are a subtype of non-human identity — same verdicts, same ranking, no separate product to buy.
Find the reach you never granted.
A scoped assessment against your own Azure tenant. Read-only, always: AuditGraph never changes your tenant on its own.
Early access · Read-only access · Plans from $9,000/year
Read-only access · No agents · No log ingestion · Azure generally available