The Hidden Security Risks in ETL/ELT Pipelines for LLM-Enabled Organizations

As organizations integrate large language models (LLMs) into analytics, automation, and internal tools, a subtle yet serious shift is occurring within their data platforms. ETL and ELT pipelines that were originally designed for reporting and aggregation are now feeding models with logs, tickets, emails, documents, and other free-text inputs.

These pipelines were never built with adversarial AI behavior in mind.