Data Privacy

Microsoft recently disclosed a critical vulnerability where Copilot AI bypassed data protection policies, indexing and summarizing confidential customer emails without authorization.

Zoë Hitzig's departure marks a pivotal moment in the AI industry's shift toward ad-driven monetization, raising concerns about data privacy and model integrity.

An in-depth analysis of the Moltbook security failure, where an AI-agent social network exposed real user data, alongside updates on Apple's Lockdown mode and Starlink's geopolitical shifts.

An in-depth analysis of OpenAI's security framework for AI agents, focusing on preventing prompt injection and data exfiltration when agents browse the web.

Google is significantly upgrading Gemini AI by integrating user data from Gmail, Search, Photos, and YouTube history to create a deeply personalized 'Personal Intelligence' experience.

Legal experts warn of significant intellectual property risks as OpenAI reportedly asks contractors to upload real-world work samples to train its models.

OpenAI is reportedly asking contractors to upload past work artifacts to train its upcoming autonomous AI agents, shifting the burden of data anonymization to the workers themselves.

Recent research highlights a critical vulnerability in ChatGPT and other LLMs where indirect prompt injections lead to data theft, raising questions about whether the core architecture of generative AI can ever be truly secure.

As AI moves from public internet scraping to private data integration, the era of the 'All-Access' AI Agent presents both unprecedented utility and significant privacy challenges. Learn how n1n.ai facilitates this transition.