SCIENTIFIC INSURANCE INTELLIGENCE

Fraud signals & anomaly detection

Develop a disciplined way to investigate anomalies without confusing unusual behaviour with proof of fraud.

Discuss an engagement

THE QUESTIONS WE INVESTIGATE

Start with the
right questions.

Which patterns differ meaningfully from an appropriate baseline?
How can signals be explained and independently reviewed?
What false-positive, fairness, and customer-impact risks need testing?

What an engagement can include

Authorised behavioural signal and anomaly research
Detection workflow design and retrospective evaluation
False-positive analysis, explanation design, and review thresholds

What you take away

Signal catalogue and evaluation findings
Human-review and escalation workflow
Monitoring recommendations and documented limitations

An anomaly is an investigation lead, not a fraud determination. Customer-impacting action requires qualified human review and applicable safeguards.

Methods, data access, deliverables, timing, and fees are agreed in a written scope before work begins.