All news with #gemini tag

⚠️ Researchers disclosed an indirect prompt-injection flaw that allowed Google Gemini to bypass calendar privacy controls and exfiltrate meeting data. A crafted Google Calendar invite could hide a natural-language payload that Gemini later parsed, summarized, and wrote into new events whose descriptions leaked private meeting content. Miggo Security reported the issue and said it has been responsibly disclosed and addressed, highlighting how AI-native features increase the attack surface when assistants can read, summarize, and write into productivity services.

🤖 Google is testing new Skills for its Gemini AI in Chrome that enable the assistant to perform tasks automatically inside the browser. A hidden page, chrome://skills, has been identified and appears to let users add Skills with a name and instructions while the feature is being internally tested. Currently, Gemini in Chrome acts as a helper on desktop in the US, summarizing pages, explaining content, and combining information from multiple tabs. Google plans to evolve Gemini into an agent that will work more closely with apps like Calendar, YouTube, and Maps, though rollout timing is still unclear.

🤖 Google is testing integration of Gemini into Chrome for Android, with Chromium source references indicating an agentic feature codenamed Glic. A Google engineer noted the browser binary increases because of the added support code, suggesting significant new functionality. The integration may provide contextual, agent-like actions such as page summaries and follow-up queries, similar to mobile copilots. No release timetable has been announced.

🔐 Google is rolling out a new Personal Intelligence capability in Gemini that can access information from Gmail, Google Photos, Search, YouTube and other Google products to generate more personalized responses. The feature is opt-in, off by default, and users can choose which apps to connect, disconnect them, or turn the feature off at any time. Google illustrates uses such as pulling tire specifications from photos and emails or extracting a license plate from an image to confirm vehicle details. The functionality is launching as a U.S. beta for eligible subscribers, and Google warns that the model can still produce inaccuracies or over-personalization, inviting users to provide feedback.

🟢 Apple and Google confirmed a multi-year collaboration that will bring Google's Gemini models and Google Cloud hosting to future versions of Siri and Apple Foundation Models. The move aims to address performance gaps after Apple’s in-house Siri models lagged behind rivals. Apple says Apple Intelligence will run on-device and on its Private Cloud Compute while foundation models are hosted on Google Cloud, and that user privacy remains a priority.

📝 Google is introducing an AI Inbox in Gmail that uses Gemini to surface prioritized briefings and summarize conversation threads with new AI Overviews. The feature appears above the traditional Inbox as a personalized briefing that highlights to-dos and VIP contacts inferred from email signals. AI Overviews are rolling out to all users at no cost, while AI Inbox is available to Google AI Pro and Ultra subscribers in the United States. Google says users can opt out and reiterated it will not train its AI models on user emails.

📉 New data from SimilarWeb shows ChatGPT's web market share fell to 64.5% in January 2026, down from 86.7% a year earlier, while Gemini rose to 21.5%. The report's timeline highlights steady gains for Gemini and smaller increases for Grok and DeepSeek, alongside a seasonal dip in usage over the holidays. Independent tests cited in the coverage praise Claude Code for complex coding and Gemini for image quality, and OpenAI is reportedly considering ads for ChatGPT amid rising competition.

🔍 Google Cloud describes how the AlloyDB AI natural language API translates user questions into SQL and how to tune it for near‑perfect accuracy in enterprise applications. The post outlines a hill‑climbing workflow that improves results by adding descriptive (table and column) and prescriptive (templates, facets) context, plus an automated value index for private terms. It highlights capabilities for business relevance, explainability, and verified results, and explains agent integration options such as the MCP Toolbox and Gemini Enterprise.

🛡️ Google Cloud has integrated Cloud API Registry into Vertex AI Agent Builder, giving administrators centralized governance over agent tools and a curated catalog developers can access via a new ApiRegistry ADK object. The update broadens ADK support — including Gemini 3 Pro/Flash and TypeScript — and improves state management, interactions, and recovery. An early A2UI toolkit and Interactions API support aim to simplify multimodal I/O and shared UI components. Agent Engine features such as Sessions and Memory Bank are GA, regional availability is expanding, and several pricing adjustments take effect in December 2025 and January 2026.

⚡ Gemini 3 Flash expands the Gemini 3 family with a low-latency, cost-efficient model tuned for high-frequency enterprise workflows. It combines Pro-grade reasoning with Flash-level speed to enable near real-time multimodal processing, rapid agentic coding, and responsive interactive agents without sacrificing accuracy. Available in Gemini Enterprise, Vertex AI, and Gemini CLI, it targets scale and affordability for production deployments.

🔒 Researchers at Koi found that the popular Urban VPN Proxy browser extension injects scripts to capture full AI chat conversations — including prompts and responses — then exports them to the extension vendor's backend. The monitoring runs even when the VPN is disabled and activates on major platforms such as ChatGPT, Claude, Gemini, Perplexity and Grok. For organizations that paste internal code, data or research into AI tools, this creates a significant data-theft risk outside corporate controls.

⚠️ Security researchers found that Urban VPN Proxy, a free browser extension with millions of installs, injected hidden scripts to capture full AI chat conversations from users’ browsers. The extension targeted multiple platforms including ChatGPT, Claude, Gemini and Perplexity, overriding browser network APIs to intercept prompts and responses. Captured data was packaged and sent to the extension operator’s backend even when VPN features were disabled. The extension marketed an “AI protection” feature that did not prevent this collection.

🚨 Google Workspace with Gemini helps agencies convert complex, legally precise emergency documents into clear, actionable public-facing tools almost instantly. By parsing executive orders to extract locations, curfews, and exemptions and generating interactive prototypes or safety-check interfaces directly in the conversation window, the system shortens deployment from days to minutes. Built with public-sector security like FedRAMP High, data residency controls, DLP, and client-side encryption, it provides a repeatable blueprint for rapid, trustworthy disaster response.

🔊 The post announces general availability of Gemini Live API on Vertex AI, powered by the Gemini 2.5 Flash Native Audio model. It presents a unified, low-latency native audio architecture that replaces multi-stage STT/LLM/TTS pipelines and enables real-time multimodal reasoning over audio, text, and visual streams via a stateful WebSocket. Two quickstart templates (Vanilla JS and React) and three production demos illustrate common integration patterns, partner telephony/WebRTC support, and recommended backend proxying for secure credentials.

🔗 This post explains how to expose Looker’s semantic layer to Gemini Enterprise quickly by using the MCP Toolbox for Databases and the Agent Development Kit (ADK). It outlines three concise steps: deploy the MCP Toolbox (recommended to Cloud Run), build and deploy an ADK agent to Vertex AI Agent Engine, and register that agent with Gemini Enterprise. The result: trusted Looker models available inside Gemini for natural‑language business queries.

🔹Google's Data Cloud presents an AI-native approach to unify siloed, multimodal enterprise data and enable real-time insights. The platform integrates Gemini with BigQuery to automate pipeline building, vector embedding, and data quality, while Dataplex provides continuous cataloging and contextual metadata for agents. Enhancements to managed streaming, Pub/Sub UDFs, and Dataflow extend real-time processing, governance, and developer productivity.

🔊 Gemini Live API, powered by the Gemini 2.5 Flash Native Audio model, is now generally available on Vertex AI. It enables low-latency, multimodal conversational agents that combine voice, vision, and text to deliver human-like, contextual interactions. The API supports natural turn-taking, acoustic cue analysis, and visual understanding, and is optimized for enterprise-scale, regional deployments and compliance. Early adopters including Shopify, United Wholesale Mortgage, and SightCall report improved efficiency and real-time assistance.

🔒 Google has patched a zero-click vulnerability in Gemini Enterprise and Vertex AI Search that could have allowed attackers to exfiltrate corporate data via hidden instructions embedded in shared Workspace content. Discovered by Noma Security in June 2025 and dubbed "GeminiJack," the flaw exploited Retrieval-Augmented Generation (RAG) retrieval to execute indirect prompt injection without any user interaction. Google updated how the systems interact, separated Vertex AI Search from Gemini Enterprise, and changed retrieval and indexing workflows to mitigate the issue.

🧭 This episode of The Agent Factory unpacks Google's latest AI stack—Gemini 3, the Antigravity IDE, and Nano Banana Pro—through hands-on demos and developer commentary. Guests demonstrate end-to-end workflows, from generating a React Native cataloging app to refactoring a site from screenshots and producing game assets with grounded search. The recap emphasizes enhanced tool use, multimodal inputs, and smoother deployment to Google Cloud. It also highlights the new Vending Bench metric for agentic, long-range decision-making.

🔬 AlphaEvolve is a Gemini-powered coding agent on Google Cloud that automates evolutionary optimization of algorithms for complex, code-defined problems. It takes a problem specification, evaluation logic, and a compile-ready seed program, then uses Gemini models to propose mutated code variants and an evolutionary framework to select and refine the best candidates. Early internal results at Google demonstrate measurable efficiency improvements, and the AlphaEvolve Service API is available through a private Early Access Program for interested organizations.