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OMB Individually Reported

Sinatra Software for Anomaly Detection

Low riskExact public inventory row

Description

Flexible software framework that analyzes various input sources of data and detects anomalies​. Automates neural network model creation and tuning​.

Detailed example

anomalies

AI / analytics pattern

Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

Makes it easier for ML beginners to get started.

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

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