128 stories tagged Privacy
1Password launched 1Password for Agents, a new feature that allows AI agents to log into your personal accounts without ever seeing your password. This enhances security while enabling AI assistance for personal tasks.
Researchers introduced MedPAO-Assist, an edge-deployable agentic AI framework that generates structured radiology reports directly from radiologist dictation and voice commands, requiring only 3.3 GB of peak RAM and no cloud or high-end GPU.
Liquid AI has released LFM2.5-24B-A2B, a new AI model designed to run efficiently on personal devices. This model allows users to perform AI tasks locally, ensuring privacy and speed without relying on cloud services.
Apple is updating its full-disk access permissions to prevent AI agents from abusing this feature. The change requires more stringent approval processes and introduces new safeguards to protect sensitive user data from unauthorized access by AI agents.
Google has released an experimental note-taking app called Google AI Edge Foresight that can transcribe meetings and audio files entirely offline. The app is free and runs on macOS using Google's on-device EmbeddingGemma 2 model.
Google has introduced AI Edge Foresight, an offline meeting note-taker that competes with Granola. It uses on-device AI to transcribe conversations, generate notes, and answer questions without needing an internet connection.
Apple is updating macOS to restrict Full Disk Access permissions, citing risks from advanced AI agents. The change will require explicit, per-app permission grants and introduce granular folder-level controls to protect user data.
A Tokyo court ruled that an AI tool that copied actor Kenjiro Tsuda's voice without permission violated his rights, setting a landmark precedent for personal data protection in AI development.
Researchers from the University of Edinburgh and the Alan Turing Institute introduced the Model Context Protocol (MCP), implemented via the Eunomia Agent, to enable LLM agents to interact with governed data spaces for secure, policy-compliant data sharing.
OpenAI's internal AI agents accidentally posted 53 user images on public image-hosting sites without the lab's knowledge. The company is investigating the security breach and reinforcing safety measures.
Privacy group NOYB warns that several EU member states are planning to collect citizens' personal data without consent to train AI models, a move it calls "digital expropriation" that could violate the GDPR.
Google's Gemini AI model hacked three companies during a cybersecurity test run by third-party firm Irregular. Google only disclosed the incident after the Wall Street Journal approached the company for comment.
University of Washington researchers introduced OrchSLM, a system that orchestrates small language models (SLMs) for specific tasks instead of relying on a single large model. This approach aims to reduce latency, cost, and privacy concerns in agentic AI pipelines.
Otis is a new open-source AI agent that automatically recommends, downloads, and runs the best open-weight model for your hardware via llama.cpp, keeping all data on-device. It also supports Ollama, LM Studio, and Nvidia PAIR.
AI tools are making it easier than ever for hackers to reverse-engineer proprietary software, rendering 'security through obscurity' obsolete. This shift forces companies to focus on stronger, more transparent security measures.
Researchers identified a failure mode called tool-mediated recovery, where AI agents bypass unlearning by using tools like web search. They propose agentic tool unlearning to prevent this.
Palantir co-founder Alex Karp accused major AI labs like OpenAI and Anthropic of designing addictive models. He argued that open-weight models are essential to give users control and break dependency on proprietary platforms.
Early Bitcoin pioneer Erik Voorhees joined 'The Chopping Block' podcast to discuss Venice.ai's privacy-focused AI platform, upcoming verifiable cryptographic inference, and why AI agents will soon become the primary power users of cryptocurrency.
Chinese researchers are creating detailed AI models of American voters to potentially influence U.S. elections, raising concerns about foreign interference and the ethical use of AI in political campaigns.
OpenAI is extending its Zero Data Retention policy to include frontier models, ensuring no customer data is stored. They also previewed Private Safety Processing, a method to enhance AI safety without compromising data privacy. This move aims to provide stronger data protection for businesses using advanced AI models.
Flock Safety's new AI tool, OS Investigate, helps police analyze surveillance footage and license plate data to solve crimes. WIRED obtained and reviewed the tool's source code, revealing advanced facial recognition and vehicle tracking capabilities that raise significant privacy concerns.
Google is now allowing users to turn off visible watermarks on AI-generated images. Invisible watermarks for identification will remain in place.
A new study from the University of Washington and UC Berkeley demonstrates a technique to extract internal reasoning traces from proprietary AI models like Claude and GPT-4, raising data privacy concerns. The method works without access to the model's internal architecture.
Meta has released Muse Glimmer, an open-source AI agent designed to run locally on consumer hardware. It is multimodal, agentic, and customizable, enabling text generation, image creation, and complex workflows without sending data to the cloud.