Using AI based systems to fight malware sounds like a no-brainer. But things are not as straightforward as they seem. Chances are, you're doing it wrong.
AI can be a great ally in malware analysis, but as this case shows, applying it without proper care isn’t enough. Method, best practices, and specialized knowledge are needed for it to truly add value.
The standard commercial failures in LLM report generation ("AI slop" and semantic reasoning instability) occur because models are granted too much autonomy over natural language synthesis. A 100% accurate AI reporting system requires forcing the LLM into a "Zero-Trust Recursive Loop", where it cannot synthesize data without a hard Source Lock.