Deterministic vs. Probabilistic DLP: Why Regex and Luhn Checks Beat LLM-as-a-Judge for PII
This story is from 2026-08-29. It is preserved in the archive; the latest stories are on the live feed.
It is interesting to me that the AI industry is trying to solve DLP (data loss prevention) using other LLMs, in what is called the “LLM-as-a-judge” technique. The basic idea is to have one LLM judge or review what the first LLM generated. But doesn’t the fact that an LLM is reviewing the content it…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-08-29 16:00 · DEV Community — Machine Learning
Deterministic vs. Probabilistic DLP: Why Regex and Luhn Checks Beat LLM-as-a-Judge for PII