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
Industries
See it on real examples
Open the platform, pick an example and press Process.
Open the platform