Fraud Pattern Explanation

What problem does it solve?

This Skill translates complex fraud detection signals into clear, human-readable explanations, bridging the gap between automated scoring and human judgment for faster, more informed fraud reviews.

Core Features & Use Cases

• Signal Decomposition & Categorization: Breaks down fraud flags into understandable payment, identity, behavioral, device, velocity, and address signals.
• Contextual Enrichment: Compares signals against customer history and known fraud patterns to assess severity.
• Narrative Explanation Generation: Produces structured, plain-language summaries of why a transaction is flagged, including mitigating factors and recommended actions.
• Pattern Aggregation: Identifies coordinated attack vectors and fraud rings across multiple transactions.
• Use Case: A fraud analyst receives a transaction flagged with a high risk score. Instead of sifting through raw data, they use this Skill to get a concise explanation: "This transaction exhibits strong account takeover indicators: new device, changed shipping address, and high-value electronics order inconsistent with purchase history."

Quick Start

Use the Fraud Pattern Explanation skill to explain the fraud drivers for my flagged transactions.