Data Privacy Concerns and Solutions When using LLMs in Production
summary
Covers concrete risks and mitigations: a demonstrated $1 car exploit and prompt‑injection attacks, real copyright lawsuit patterns, and use of LangChain4J in Java stacks. Compares deployment choices — OpenAI API vs private cloud with VPN vs on‑premise models — and spells out controls: strict DB access checks, human‑in‑the‑loop for outbound actions, provider‑term review, and GDPR/AI Act alignment for high‑risk systems. Good if needing practical steps rather than theory.
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