Fraud Agent

Fraud L1 Review

Fraud L1 Review

Evidence-backed disposition recommendations for faster, more consistent L1 alert review.

Evidence-backed disposition recommendations for faster, more consistent L1 alert review.

Where it Helps

The Fraud L1 Review agent uses AI to instantly summarize alert evidence, transaction history, device signals, and velocity patterns, and generates a disposition recommendation. Analysts receive a clear summary and recommendation within the alert queue in seconds. Each recommendation includes supporting evidence and a confidence score so analysts can decide quickly. Analysts can accept, edit, or override the recommendation, and every override is logged to track disposition accuracy over time.

Key Capabilities

Automated Evidence Summary

Pulls transaction, device, and velocity data into a single readable brief for each alert.

Disposition Recommendation

Proposes approve, decline, or escalate with a confidence score and supporting rationale.

Similar Case Retrieval

Surfaces prior similar alerts and their outcomes to guide consistent decisions.

One-Click Disposition

Analyst can accept the recommendation directly from the summary, no separate lookup required.

Override Capture

Every analyst override is logged with a reason, feeding override-rate reporting.

Full Audit Trail

Recommendation, evidence, and final disposition are all saved to the alert record.

Admin-Configurable Thresholds

Admins set confidence thresholds and escalation rules per queue.

How it Works

1

Alert Enters Queue

Agent triggers automatically when an L1 alert is assigned or opened by an analyst.

2

Evidence Compiled

Agent pulls transaction history, device and behavioral signals, and prior related cases.

3

Recommendation Generated

A structured summary and disposition recommendation appear in seconds for analyst review.

4

Analyst Decides

Analyst accepts, edits, or overrides the recommendation, and the outcome is logged.

Popular Use Cases

Card Fraud

Summarizes transaction velocity, device fingerprint changes, and merchant risk to recommend approve or decline.

Account Takeover

Highlights login anomalies, device changes, and behavioral signals to flag likely takeover attempts.

First-Party Fraud

Surfaces prior account history and dispute patterns to support consistent disposition decisions.