ChainLens Anomaly Detection Agent – Data Integrity Auditor

This agent detects outliers in IoT sensor data using real-time stream validation and rule-based thresholds. It checks sensor streams for missing data, extreme values, and inconsistent patterns, so suspicious readings are caught as they arrive instead of surfacing later in reports.

When the agent flags a reading, it routes the data to compliance teams for review, logs it for future investigation, and auto-generates compliance alerts. That gives operations managers who need high assurance a dependable check on the integrity of the data their decisions rely on. By validating data continuously, it helps teams trust what their sensors report and respond quickly when something looks wrong. The agent stores and analyzes data using BigQuery and Cloud Storage.