Product · Context Analytics

Review security context before it becomes a canonical finding

Context Analytics gives practitioners a customer-scoped view of analysis records produced from observed endpoint evidence. Teams can search and filter the review queue, inspect what evidence exists, and keep draft analysis separate from promoted findings.

Filter records by severity, analytic, review state, and promotion state

Keep evidence and compliance-context counts visible beside each record

Separate draft review from the controlled promotion workflow

Artemes AI Context Analytics development interface showing customer-scoped review records and filters
Development interface shown with a verification dataset. Counts and records demonstrate the implemented workflow; they are not customer results.

Review queue

See the state of the analysis, not just its conclusion

The interface keeps the operational fields required to review a record together.

Search and filter

Find records by asset, analytic, finding, evidence, or compliance context, then narrow the queue by severity and workflow state.

Evidence visibility

Review evidence counts and the available mapped control context without treating a mapping as a certification or final compliance determination.

Explicit workflow state

Review and promotion are separate fields, making it clear whether a record is pending, reviewed, or promoted.

Controlled lifecycle

Keep generated analysis behind a practitioner decision

The implemented data model stages analysis for review before it can update canonical security state.

Evidence-bound draft

Draft analysis is built from the asset context and sourced reference facts supplied to the analysis step.

Human review

A practitioner can inspect the record and its supporting fields before approving or rejecting it.

Separate promotion

Approved review state does not itself rewrite a finding. Promotion remains a separate workflow with its own quality gates.

Product boundary

Built to expose uncertainty instead of hiding it

Context Analytics is a review surface, not a guarantee that every record is complete or correct.

Missing context stays visible

The workflow can retain missing evidence and recommended verification steps rather than filling gaps from model memory.

Counts are operational

Loaded, reviewed, and promoted counts describe the current dataset and workflow state, not a promised security outcome.

Customer scope is explicit

Records are read from customer-scoped Firestore paths and displayed within the selected customer context.

Review Context Analytics against your own workflow

Request early access to discuss your evidence sources, review process, and the decision you want the queue to support.

Request Early Access