Implementing AI Audit Logs for Forensic Visibility in LLM Applications

Most security systems are built on a simple assumption: if something goes wrong, there will be a trace. In AI systems, that assumption breaks down. Interactions are transient. A prompt is entered, a response is generated, and the entire exchange can disappear without leaving a meaningful record. Even when logs exist, they often capture isolated events without context, making it difficult to understand how or why something happened. This is where the gap begins.