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AI-native Fraud Alert Management: Protect Your Bank Against Account Takeover
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Our AI-native Fraud Alert Management System helps banks and financial institutions identify and respond to account takeover attempts faster and more effectively. It analyzes raw session logs with a dedicated, self-hosted Large Language Model, instantly scoring risk across multiple fraud categories. Investigators gain a clear, prioritized view of high-risk alerts via a color-coded dashboard, along with tools for deep investigation — all while maintaining strict data privacy.
Challenges
Evolving Fraud Tactics
Criminals increasingly use AI to bypass traditional, rule-based fraud detection systems.
Investigator Overload
Large volumes of alerts (many of them are false positives), make it difficult to focus on real threats quickly.
Data Privacy Concerns
Sensitive personal and account data must remain within institutional control to prevent leakage.
Slow Response to Emerging Threats
Rule-based systems often require extensive manual tuning to detect new fraud patterns.
Solutions
Contact usAI-Driven Log Analysis
The system processes raw session logs through advanced AI features, detecting behavioral anomalies, suspicious activity, credential attacks, and other fraud indicators.
Prioritized, Actionable Alerts
Risk scores and a color-coded dashboard help investigators instantly spot high-risk events, supported by quick-action tools for resolution.
Agent Helpers and AI-supported Investigation Tools
Voice assistant, outbound call agent gathering information, pre-SAR generation and other features are implemented to ensure investigators focus on the most critical alert and manage their workload efficiently.
Self-hosted
Ensures all analysis occurs inside the bank’s secure environment, maintaining compliance and eliminating data leakage risks.
