Built for teams who can’t afford to guess.
Seven capabilities that turn fragmented source evidence into one governed record your security, IT, and audit teams can trust.
Asset Correlation & Resolution
Bring evidence from every approved source into a single, correlated view without ever treating one source as complete.
- Correlate the same real asset across multiple sources
- Preserve source, scope, and collection status per field
- Merge without overwriting. Conflicts stay visible

Intelligent CMDB
Not a blind synchronization layer. An Explainable Intelligent CMDB that shows what each source reported, why a value is trusted, who owns it, where it sits in its lifecycle, what it relates to, and what changed.
- Company-defined official record, distinct from raw discovery
- Source evidence visible beside the official value
- Ownership, lifecycle, relationships, and change kept explainable

Source Evidence & Provenance
Every field carries its source, scope, and collection status. Nothing is silently overwritten.
- A governed value shown beside the raw adapter values
- Source, scope, and status kept on every field
- Empty is a valid, honest state. Never invented

Change Intelligence
See what changed, when, how, by whom, and whether it was authorized, with the evidence attached.
- Timeline of every material change to an asset
- Attribute change to a source, actor, or automation
- Investigate changes against approval evidence

Governance & Audit
Every change to the official record is signed, attributable, and reviewable.
- Signed promotion to the official record
- Full audit trail: who, what, when, why
- Policy-based review workflows

Exposure Intelligence
Inventory-scoped security findings with source evidence. A coverage gap is evidence, not a verdict.
- Security findings scoped to the governed inventory
- Findings carry their reporting source and scope
- Coverage gaps are surfaced as evidence, not scored away

AI Readiness
AI is only as useful as the organisational context behind it. ORAVUNO brings governed asset evidence into one explainable foundation under customer control.
- Evidence, ownership, lifecycle, relationships, exposure, and change kept in context
- Customer-controlled deployment, DataScope, and declared connectivity
- A foundation for governed AI workflows, not an autonomous AI product





