Cloud agents typically send user messages to remote LLMs and store conversation traces in memory systems (e.g., Mem0, LangMem, Memobase) for long-term personalization. This creates a large privacy attack surface: plaintext prompts and logs may contain PII, medical/financial data, credentials cloud memory stores can leak via retrieval, prompt injection, inversion, or misconfiguration naïve mitigation (e.g., *** masking) destroys task semantics, harming retrieval and personalization Goal: reduce privacy leakage without sacrificing utility.
Paper page - MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents… View arXiv page View PDF GitHub 99 Add to collection Community This comment has been hidden marked as Abuse MemPrivacy: Privacy-Preserving Personalized Memory for Edge-Cloud Agents Authors: Yining Chen, Jihao Zhao, Bo Tang, Haofen Wang, Yue Zhang, Fei Huang, Feiyu Xiong, Zhiyu Li ArXiv: 2605.09530 … …
… The introduction of MSI's AI Jinni marks the official entry of personal computing devices into the new era of "fully autonomous AI agents." By combining the privacy advantages of local computing with the top-tier intelligence of cloud models, AI Jinni will become the most powerful engine assisting … …
… Organizations want agents that can securely analyze internal files, proprietary code, and sensitive business data—but doing so often means relying on cloud-based AI infrastructure that introduces significant privacy and control risks. …
… Agents built with OpenShell can continuously build new skills over time using popular coding agents like Claude Code, Codex, Cursor, and OpenCode—and you can add tools, models, and behaviors through the sandbox interface while keeping every new capability subject to the same policy and privacy cont… …
… Fewer still have AI-specific data privacy policies. …
… OpenShell is designed to add privacy and security controls for AI agents. NVIDIA is collaborating with security partners, including Cisco , CrowdStrike , Google Cloud , Microsoft Security and TrendAI , to align runtime policy management and enforcement for agents across the enterprise stack. …
… As AI agents become more integrated into the economy, companies and entities that deploy them will benefit disproportionately compared to those that cannot, Nick Srnicek, a senior lecturer in digital economy at King’s College London, told Rest of World . “We will see new inequalities of access, sca… …
… Key benefits include: Privacy and security: Your code stays on your machine. Gemma 4 processes all Agent Mode requests locally, making it an ideal choice for developers working with data privacy requirements or in secure corporate environments. …
… How Are Organizations Using Long-Running Autonomous Agents? The practical applications of long-running autonomous agents span every function and sector. In financial services, agents continuously monitor trading systems and regulatory feeds, flagging material events before the morning review. …
… Agents in Bedrock will soon be able to make payments autonomously Described as the "first managed end-to-end payment" system for agents, AWS built the payment infrastructure with Coinbase and Stripe as wallet infrastructure and payment rail providers, using Coinbase's x402 protocol which is increas… …
