Detecting fraud and service abuse with log based monitoring

Fraud attempts and service abuse are becoming harder to detect as digital transactions grow and attackers evolve. Traditional tools often miss subtle patterns hidden across applications, APIs, databases, and cloud systems. Log data offers a richer, more reliable source of truth, helping teams uncover anomalies that other monitoring methods overlook.This white paper explains how log based monitoring uncovers unusual behavior, identifies early fraud indicators, and strengthens security across BFSI environments.

Download the white paper to learn how to:

• Identify fraud signals and high risk activities through deeper log visibility and user behavior insights.
• Apply a structured log analysis approach to correlate events across applications, cloud services, and identity systems.
• Build effective detection workflows using pattern analysis, custom queries, dashboards, and automated response actions.