Platform

Trust estate data before it reaches audits, CMDBs, or customers.

VeridataOps turns source evidence into reviewed infrastructure context so teams can make onboarding, audit, security, and service decisions without arguing over spreadsheets.

Walk through the review boundary, evidence trail, and publish controls with a technical buyer.

Real VeridataOps Evidence Explorer screenshot showing a virtual machine with source metadata, relation map, readiness checks, and publish actions.
Sources Live evidence
Data packs Normalize
Review Approve
Estate cache Explore

Operating Layer

What changes for the buyer

Raw observations, review decisions, current estate records, relationships, and destination sync state stay inspectable. That gives customers a defensible trail from source system to operational claim instead of another opaque import.

Evidence capture Keep the source payload, collection time, and mapping result available for inspection.
Review before publish Preview creates, updates, conflicts, skipped records, collected evidence, and relationship changes before committing data.
Current estate cache Commit reviewed evidence into tenant-scoped current estate records and a materialized cache for snappy explorer views.
Managed modeling Define CI type templates, taxonomy, semantic catalog entries, and tenant estate contracts without hardcoding each customer extension.
Destination control Publish reviewed records to the native presentation layer or destination packs without centering the model on a single target system.

Evidence Model

Review one record before it becomes operational truth

The Evidence Explorer keeps source IDs, relationship impact, readiness signals, and publish actions visible before a team approves the next state.

Real VeridataOps Evidence Explorer screenshot showing a virtual machine with source metadata, relation map, readiness checks, and publish actions.

Architecture

Separate collection, control, evidence, and publication.

The platform is built around a few explicit boundaries: collectors run near private systems, the SaaS control plane schedules scoped work, data packs translate source shape into shared meaning, and reviewed estate context is published only after operators can inspect the evidence.

01
Private-side collectors

Collectors execute source jobs close to customer networks, call APIs such as cloud, identity, endpoint, discovery, monitoring, and CMDB systems, then return compressed results outbound to the control plane.

02
SaaS control plane

Tenant scope, job leases, credentials, pack availability, user access, and support operations stay in the managed service boundary rather than inside customer networks.

03
Evidence pipeline

Raw payloads, source timestamps, field samples, mapping decisions, validation warnings, and provenance are retained so every estate claim can be traced back to source evidence.

04
Semantic estate model

Data packs map source-specific fields into tenant-readable CI types, relationships, ownership hints, lifecycle state, and destination-ready normalized records.

05
Review and current estate

Operators preview creates, updates, conflicts, and relationship changes before approved records enter the tenant-scoped current estate cache and explorer views.

06
Destination publication

Reviewed context can feed the native presentation layer or destination packs for CMDB, ITSM, ITAM, DCIM, automation, and partner workflows without centering the product on one target.

Control plane

  • Tenant identity and access
  • Scoped job scheduling
  • Pack licensing and availability
  • Audit and support boundaries

Data plane

  • Outbound collector execution
  • Source payload capture
  • Mapping and validation
  • Evidence retention

Experience plane

  • Workbench review queues
  • Evidence Explorer
  • Current estate cache
  • Destination publishing

Why teams choose it

The difference is the review boundary.

This is not a claim that every alternative works the same way. It is the practical distinction buyers usually need to evaluate: whether source evidence stays inspectable before anyone trusts and publishes it.

Keep evidence attached to the record Source payloads, mappings, review decisions, and current estate context stay linked so operators can explain why a record changed later.
Review before downstream impact CMDB, ITSM, audit, and customer-facing workflows do not have to accept raw sync noise before a human can inspect creates, updates, conflicts, and skips.
Publish into more than one target model The estate model is not centered on one destination platform, which makes it easier to support native explorer views and recipient-native publishing side by side.

Raw sync vs reviewed publication

Show the operational difference in one compact view.

This is a claim-safe comparison of operating models, not a universal statement about every tool in the market. The point is to make the publication boundary concrete for evaluators.

Capability Raw sync path Reviewed publication path
Before downstream writes Records can move toward CMDB, ITSM, or audit workflows before an operator inspects the full proposed change set. Operators inspect creates, updates, conflicts, skips, and destination actions before approved records are published.
Evidence and provenance Teams often end up tracing issues after publication through source systems, logs, or ad hoc exports. Source payloads, mappings, review decisions, and destination context stay attached to the record people rely on later.
Destination model The workflow is often centered on one destination schema or one final-record view. Reviewed estate context can feed native explorer views and destination-aware publishing without centering everything on one target platform.
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Workbench See builders and explorer
Security Read the access model
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