Google's OKF cut LLM hallucination 81% on DFIR telemetry — because the format, not the model, was the problem

DFIR tooling still hands its telemetry to LLMs as one big JSON dump. At scale that is a context-exhaustion engine: latency climbs, the model starts hallucinating, and the analyst has to re-verify everything it said. Our new paper asks a narrow question: does the shape of the serialization matter mo…

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1. 2026-11-13 14:00 · DEV Community — AI
   Google's OKF cut LLM hallucination 81% on DFIR telemetry — because the format, not the model, was the problem