Secrets Detection… What to look for when choosing a tool

This article explains why testing secrets-detection tools is harder than it seems: simple regex-based scanners produce noisy false positives, while smarter tools use validation, entropy scoring, dictionary filtering, and context to reduce noise. It recommends realistic testing approaches (honeytokens, ephemeral keys, scanning real repositories) and lists qualities of effective secrets-detection solutions such as validation, pattern support, entropy/context analysis, pre-commit prevention, and enterprise scaling.