---
id: "entity-glaze-nightshade"
type: "entity"
source_timestamps: ["§ Lessons for Rightsholders", "¶13"]
tags: ["ip-protection", "technical-tools", "image-processing"]
related: ["action-implement-poisoning-tools"]
entityType: "tool"
canonicalName: "Glaze and Nightshade"
aliases: ["Glaze", "Nightshade"]
canonical_url: "glaze.cs.uchicago.edu / nightshade.cs.uchicago.edu"
sources: ["tail2"]
sourceVaultSlug: "hbr-seg-tail2"
originDay: 2
articleStem: "hbr-tail-126-genai-copyright"
sourceUrl: "https://hbr.org/2025/07/can-gen-ai-and-copyright-coexist"
sourceTitle: "Can Gen AI and Copyright Coexist?"
---
# Glaze and Nightshade

A pair of technical defense tools (developed by University of Chicago researchers) that protect publicly available image-based IP from being effectively used in generative-AI training. They are the concrete instrument behind the technical-protection step of [[framework-rightsholder-defense]] and the action [[action-implement-poisoning-tools]].

- **Glaze** *cloaks* artwork so AI models cannot easily learn the artist's style from scraped images.
- **Nightshade** *poisons* training data by introducing perturbations that mislead models, making scraped images less useful for style replication.

They serve rightsholders who must keep content on the open web rather than behind a paywall (contrast [[claim-paywall-protection]]).