USE CASE · AI DECISIONING

Fraud Detection

Real-time fraud signals across transactions, accounts and channels. Every detection decision auditable, explainable and ready for regulatory review.
CONTEXT

Fraud is cross-channel. Most detection systems are not.

Financial institutions manage fraud across card transactions, account activity, digital channels and third-party data simultaneously. Detection that operates channel by channel misses the patterns that span all of them and cannot produce the lineage regulators now require.

Real-time

detection across all transaction channels and accounts simultaneously

Full lineage

behind every fraud decision, explainable to regulators on demand

Weeks

to first fraud models running on complete, governed transaction data

WHAT IT DELIVERS

Fraud is caught before the loss is confirmed.

Fraud signals are detected across all transaction channels simultaneously, not one channel at a time. Stratio reads the full customer relationship, reducing both missed fraud and false positives that block legitimate customers.

Card transactions, account activity, behavioural signals and external watchlists all feed the model. No source is excluded because it was difficult to connect. Detection is only as good as the data behind it.

Full data lineage is built into every detection decision. Regulatory enquiries are answered immediately with traceable evidence. Internal teams can challenge and refine thresholds without external support.

Models are monitored and updated as fraud behaviour evolves. New signals from any connected source are incorporated without disrupting existing detection. The system improves without starting over.

RESULTS

What the organisation gains

01

Fraud losses fall because detection happens before the transaction completes

Real-time detection across all channels means fraud is caught at the point of transaction, not discovered in reconciliation. The cost of the loss and the cost of remediation both fall.

02

False positives are reduced because the model sees the full picture

When the model is trained on complete, cross-channel data, it distinguishes genuine fraud from unusual-but-legitimate behaviour more accurately. Customer experience improves, and investigation costs fall.

03

Regulatory examinations answered with evidence, not reconstructions

Every detection decision has complete lineage. Regulatory inspections, internal audits, and disputes are handled with traceable data rather than manual reconstruction of what the model saw and why.

HOW IT WORKS

Complete data, calibrated models, continuous governance.

Most fraud detection gaps are not model failures, they are data failures. Stratio solves the data problem first, then builds and governs the models on top of a complete, trusted foundation.
RELEVANT INDUSTRIES

Where fraud detection creates the most impact

Most valuable where demand variability is high, and the supply chain cost of being wrong is material.
BANKING

Card, account and application fraud across multiple channels. Stratio unifies all signals to detect patterns across the full customer relationship.

INSURANCE

Claims fraud, identity fraud and policy manipulation across complex data sources. Stratio delivers audit-ready detection models.

RETAIL

Payment fraud, return fraud and account abuse across digital and in-store channels. Stratio detects patterns no single system can see.

BANKING

Card, account and application fraud across multiple channels. Stratio unifies all signals to detect patterns across the full customer relationship.

INSURANCE

Claims fraud, identity fraud and policy manipulation across complex data sources. Stratio delivers audit-ready detection models.

RETAIL

Payment fraud, return fraud and account abuse across digital and in-store channels. Stratio detects patterns no single system can see.