Real-Time Monitoring

Detect fraudulent transactions as they happen with millisecond response times. Block suspicious activity instantly while minimizing false positives that frustrate legitimate customers.

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Behavioral Analytics

Learn individual user patterns and identify anomalies that indicate fraud. Detect account takeovers, identity theft, and unusual spending patterns with advanced machine learning.

Risk Scoring

Assign dynamic risk scores to every transaction and user action. Automatically adjust security measures based on risk levels while maintaining smooth user experiences.

LLM

Large Language Models analyze transaction descriptions, interpret communication patterns, and detect sophisticated fraud schemes by understanding contextual anomalies in financial text data.

Predictive Analytics

Predictive analytics forecasts fraud likelihood, anticipates emerging attack vectors, and predicts risk scores by analyzing transaction patterns, user behavior, and historical fraud indicators.

AI Agents

AI agents automate fraud detection workflows, coordinate multi-system alerts, and intelligently escalate suspicious activities while balancing security measures with customer experience.

Comprehensive Fraud Prevention

We deliver end-to-end fraud detection including machine learning for credit card fraud, deep learning for account takeover detection, graph analytics for money laundering prevention, and behavioral biometrics for identity verification—all integrated into your existing systems.

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From Detection to Prevention

Traditional fraud systems are reactive. Miniml’s AI solutions are predictive and preventive, using machine learning to stop fraud before it happens while continuously adapting to new threat patterns and attack vectors.