As autonomous agentic workflows scale across Fintech infrastructures, static validation rule matrices are no longer sufficient to intercept complex transaction anomalies. Leaving endpoint execution boundaries unchecked often leads to massive infrastructure drift and data poisoning.
To address this "Resilience Gap" in production, I have documented a Layer 5 validation perimeter utilizing Unsupervised Machine Learning.
The backend engine deploys scikit-learn's Isolation Forest algorithm to assign real-time anomaly scores to numerical transaction payloads, processing data streams in near-zero milliseconds.
Unsupervised Outlier Detection Pipeline
from sklearn.ensemble import IsolationForest
