LLM05:2025 – Improper Output Handling in LLM Applications: A Business Risk Executive Leaders Must Not Ignore
At its core, Improper Output Handling refers to inadequate validation, sanitisation, and management of outputs generated by large language models before those outputs are passed downstream—whether to user interfaces, databases, APIs, third-party services, or even human recipients.