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DetectorsFindings & Results

Findings & Results

A finding is the result a detector yields: one signal, raised on one asset. It’s the unit you triage, filter, and investigate. This page covers everything a finding carries — its fields, its severity, its confidence, and how it lives across repeated scans.


Anatomy of a finding

Every finding records what was found, where, how sure the detector is, and how serious it is. The key fields:

FieldWhat it tells you
DetectorWhich detector raised it — a pre-built type, or your custom detector’s name.
Finding typeThe specific signal, e.g. an API key, a credit-card number, a policy match.
CategoryThe broad family the signal belongs to (secrets, PII, security, …).
SeverityHow serious it is — Critical to Info (see below).
ConfidenceHow sure the detector is, from 0 to 1 (see below).
Matched contentThe exact text or value that matched.
Redacted contentA safe-to-show version with the sensitive part masked.
ContextThe surrounding text before and after the match, for quick judgement.
LocationWhere in the asset it sits (e.g. line, field, or column).
MetadataExtra detector-specific details about the match.
StatusWhere it is in its lifecycle — Open, Resolved, and so on (see below).

Because each finding is attached to an asset, it also inherits that asset’s name, link, and metadata — so you always know which item, in which source, produced it.

Sensitive matches stay protected. Findings keep a redacted version of the match so you can review and triage without re-exposing the secret or personal data that was found.


Severity levels

Every finding is assigned a severity by the detector, based on what matched. Severity is how you focus on what matters first — you can sort and filter by it everywhere.

SeverityMeaningExample
CriticalImmediate risk — act nowA live credential or active malware signature
HighSignificant risk — address soonPersonal data exposed in a public location
MediumModerate risk or policy deviationA questionable pattern worth reviewing
LowMinor issue or informationalA weak signal, low blast radius
InfoNo direct risk, worth recordingA noted observation for completeness

Confidence

Alongside severity, each finding carries a confidence score from 0 to 1 showing how certain the detector is about the match:

  • 1.0 — the detector is fully confident (typical of exact pattern matches).
  • Lower scores — the signal is more ambiguous and may deserve a human check.

Severity and confidence answer different questions: severity is how bad is it if real?, confidence is how likely is it real? A high-severity, low-confidence finding is worth a quick look; a high-severity, high-confidence one is worth acting on.


The finding lifecycle

Findings persist across scans. Rather than creating duplicates each run, Classifyre tracks the same finding over time and updates its status and history — giving you a complete audit trail.

Statuses you control

StatusMeaning
OpenNewly detected, not yet reviewed.
False positiveReviewed and judged incorrect.
ResolvedThe underlying issue is fixed.
IgnoredAcknowledged and accepted as a risk.

History recorded automatically

Each finding keeps a timeline of what happened to it:

EventWhen it fires
DetectedFirst time it appears
Re-detectedStill present in a later scan
ResolvedNo longer present after a scan (auto), or marked by you
Re-openedReturned after having been resolved
Status / severity changedYou updated it manually

Your decisions stick. When you mark something a false positive, ignored, or resolved, later scans respect that — your manual judgement is never silently overwritten.


From findings to investigations

Findings are evidence. On their own they’re a list; their real value comes from working them:

  • Investigations — group related findings into inquiries and cases with hypotheses and evidence.
  • Fingerprints — connect findings that share identity into duplicate and similarity clusters.
  • Autopilot — let AI agents open inquiries, build cases, and draft hypotheses from new findings automatically.
  • Flow — the full mechanics of how findings are detected, tracked, and auto-resolved across scans.

Detectors, end to end

Page
OverviewPre-built and custom detectors at a glance
How Detectors WorkRunning, routing, and per-source setup
Findings & ResultsWhat detectors produce (you are here)
Pre-built DetectorsThe ready-made packs
Custom DetectorsBuild your own
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