Protecting Personal Context: Privacy Patterns for Assistants That Access Photos and App Data
privacysecurityarchitecture

Protecting Personal Context: Privacy Patterns for Assistants That Access Photos and App Data

AAlex Reid
2026-02-12
5 min read
Advertisement

Mitigate risks of AI assistants accessing personal data with on-device LLMs, encryption, and user-focused consent. Learn best practices for 2026.

Advertisement

Related Topics

#privacy#security#architecture
A

Alex Reid

Senior Tech Editor

Senior editor and content strategist. Writing about technology, design, and the future of digital media. Follow along for deep dives into the industry's moving parts.

Advertisement

Up Next

More stories handpicked for you

How Global Chip Shortages Are Reshaping Open-Source Similarity Search Deployments
supply chain•10 min read

How Global Chip Shortages Are Reshaping Open-Source Similarity Search Deployments

Bootstrapping a Search-Focused Startup: Lessons from Listen Labs' Growth Playbook
startup•9 min read

Bootstrapping a Search-Focused Startup: Lessons from Listen Labs' Growth Playbook

From Billboard to Data Crowd: Using Viral Challenges to Build and Vet Annotation Pools
datasets•10 min read

From Billboard to Data Crowd: Using Viral Challenges to Build and Vet Annotation Pools

From Our Network

Trending stories across our publication group

Email Copy Linting Rules Powered by LLMs: Reduce Slop Before Send
aicode.cloud
CI/CD•10 min read

Email Copy Linting Rules Powered by LLMs: Reduce Slop Before Send

Federal Initiatives to Advance AI: Transforming Clinical Tasks Beyond Simple Diagnostics
aicode.cloud
Healthcare AI•9 min read

Federal Initiatives to Advance AI: Transforming Clinical Tasks Beyond Simple Diagnostics

Speed vs Structure: How to Integrate Human QA into Rapid Prompt Iterations
aiprompts.cloud
process•9 min read

Speed vs Structure: How to Integrate Human QA into Rapid Prompt Iterations

2026-02-12T12:46:17.559Z