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Threats Across the AI Lifecycle
Threats Across the AI Lifecycle
Data Engineering
Data Acquisition
Data Pre‑processing
Data Analysis
Data Preparation
Experiment / Development Stage
Versioned Data
Model Training
Model Validation
MLOps Pipeline
Code Repository
Production (Serving & Operations)
ML Metadata Store
Model Export
Model Registry
AI System (Serving/Inference)
Monitoring (Telemetry & Audit)
Input Data
Output Data
View on GitHub
Data Engineering
This stage covers
Data Acquisition
,
Data Pre‑processing
,
Data Analysis
, and
Data Preparation
.
Table of contents
Data Acquisition
Data Pre‑processing
Data Analysis
Data Preparation
