Machine Learning Models

Kaizen AI integrates advanced machine learning models that power intelligent scoring, anomaly detection, and predictive analytics.

Model Architecture

• Modular multi-layer architecture combining decision trees, NLP models, and neural networks

• Separate pipelines for blockchain analytics, sentiment parsing, and behavioral modeling

Training Procedures

• Supervised learning using labeled historical exploit and fraud data

• Reinforcement learning for adaptive strategies

• Transfer learning to port insights across chains and assets

Feature Engineering

• Real-time token metrics: liquidity, holder concentration, contract complexity

• Social signals: virality, sentiment, coordinated behavior

• Wallet patterns: frequency, mixing behavior, known associations

Model Evaluation

• A/B testing with historical snapshots

• ROC-AUC and F1-score benchmarks

• Manual analyst review loop to validate AI conclusions

Continuous Learning

• Periodic retraining with new attack vectors and market conditions

• Drift detection and automatic re-optimization

• Human-in-the-loop refinement for emerging patterns