Schneier on Security: Signal Blocks Windows Recall

Source URL: https://www.schneier.com/blog/archives/2025/05/signal-blocks-windows-recall.html
Source: Schneier on Security
Title: Signal Blocks Windows Recall

Feedly Summary: This article gives a good rundown of the security risks of Windows Recall, and the repurposed copyright protection took that Signal used to block the AI feature from scraping Signal data.

AI Summary and Description: Yes

Summary: The text discusses security risks associated with Windows Recall and highlights a specific instance where Signal used copyright protection to prevent unauthorized data scraping by an AI feature. This insight is particularly relevant for professionals focused on AI security and data privacy.

Detailed Description: The content addresses critical aspects of security risks related to the Windows Recall functionality. Here are the key points and their implications:

– **Windows Recall Security Risks**: It mentions potential vulnerabilities that could arise from using this feature, which may expose sensitive user data or allow unauthorized access.

– **Copyright Protection by Signal**: The article illustrates how Signal has proactively employed copyright protection mechanisms to safeguard its data from being scraped by AI. This reflects a growing trend where organizations are increasingly seeking to protect their data against unauthorized use in AI applications.

– **Implications for AI Security**:
– Increased focus on protecting user data and preventing scraping, particularly as AI models become more prevalent and capable of data harvesting.
– The necessity for organizations to implement robust controls and compliance measures to protect their proprietary information from AI-enabled threats.

– **Relevance to Data Privacy**: The discussion underscores the importance of privacy regulations and ethical considerations in AI, directing attention to how AI interacts with privacy laws.

This text is significant for security professionals as it serves as a reminder of the importance of both software security measures and proactive legal strategies to combat security threats posed by advancements in AI technology. Ensuring compliance with data protection regulations and implementing strong security posture against AI-related risks are crucial for organizations navigating this landscape.