Skip to content

SymNexusSentinel

Spot what doesn't belong, without labelled examples.

SymNexusSentinel learns what normal looks like in your data, then flags what doesn't fit: fraud, intrusions, failing equipment, bad records. It also groups similar records and can produce privacy-safe synthetic data for testing.

What SymNexusSentinel can do for you

Choose a task to see how it applies.

What it does

SymNexusSentinel learns what normal looks like in your data, then flags what doesn't fit: fraud, intrusions, failing equipment, bad records.

Flags the unusual

A risk score for every transaction, log line or sensor reading, with the fields that look off.

Needs no labelled fraud

Learns from normal activity, so new kinds of anomalies are caught too.

Segments & synthesizes

Discovers natural customer groups and generates realistic test data that isn't anyone's real record.

How it works

Three steps from your data to results.

STEP 1

Stream in activity

Transactions, logs, sensor readings or records, as rows of fields.

STEP 2

Learn normal behaviour

The system builds a picture of what typical activity looks like.

STEP 3

Review what's flagged

Unusual items rise to the top with the reasons they stand out.

Where it's used

Payment fraudNetwork intrusionAudit & expense anomaliesPredictive maintenanceData quality checksCustomer segmentationSynthetic test dataPatient monitoring alertsBuilding energy faultsInvoice screening

Industries

Banking & PaymentsInsuranceCybersecurityManufacturingHealthcareEnergyRetailTelecomPublic SectorAudit

See it on real examples

Open the platform, pick an example and press Process.

Open the platform