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How it works

What SymNexusSentinel

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.

Capabilities

  • 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.

From data to results

  1. 1

    Stream in activity

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

  2. 2

    Learn normal behaviour

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

  3. 3

    Review what's flagged

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

Use cases

The same platform adapts to each of these with your data and a short configuration.

  • Payment fraud
  • Network intrusion
  • Audit & expense anomalies
  • Predictive maintenance
  • Data quality checks
  • Customer segmentation
  • Synthetic test data
  • Patient monitoring alerts
  • Building energy faults
  • Invoice screening

Industries

Banking & PaymentsInsuranceCybersecurityManufacturingHealthcareEnergyRetailTelecomPublic SectorAudit
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