All news with #gemini tag

🤖Agent Designer is now available within Gemini for Government on GenAI.mil, enabling Department of Defense civilian and military personnel to build customized AI agents for unclassified tasks using natural language. This no-/low-code platform lets users automate repetitive, multi-step administrative workflows—such as drafting meeting read‑aheads, extracting action items, or breaking projects into task checklists—without programming skills. Google Public Sector is supporting the rollout with training and office hours run in partnership with the U.S. Chief Digital and Artificial Intelligence Office to accelerate adoption and responsible use.

🔒 Google has been named a Leader in the IDC MarketScape: U.S. State and Local Government Professional Security Services 2025–2026 assessment. The recognition highlights Mandiant integration with Gemini AI and Google’s secure, AI-optimized infrastructure to accelerate detection rule generation, attacker script analysis, and incident investigations. The report also notes Mandiant’s full incident lifecycle support—including crisis communications, legal coordination, and board-level reporting—delivered across engagements with Fairfax County, the State of Nevada, and the University of Hawaii.

🤖 Join the Gemini Live Agent Challenge to build immersive, multimodal AI agents that perceive and respond using speech, vision, and structured data. Get hands-on access to the Gemini Live API, the Agent Development Kit (ADK), Quickstarts, tutorials, and webinars to prototype real-time translators, creative storytellers, or visual UI navigators. Compete for a share of $80,000 in prizes, Google Cloud credits, and opportunities to present at Google Cloud Next ’26. Submissions must use a Gemini model and at least one Google Cloud service; the deadline is March 16, 2026.

🟡 This guide introduces Nano Banana image models—built on the Gemini 3 family—and explains how they combine deep reasoning and live web search to produce precise visuals. It summarizes technical specifications (context windows, resolutions, aspect ratios, supported inputs/outputs), practical prompting best practices, five prompting frameworks, and integration patterns with Veo and Lyria. The guide also highlights multilingual text rendering, provenance safeguards, and workflow tips for creative and production use.

🚀 February highlights include new models, tools, and global partnerships. Google introduced Gemini 3.1 Pro and an upgraded Deep Think variant for scientific and engineering problems, alongside visual models such as Nano Banana 2 and creative tools like Lyria 3 and Flow improvements. The company emphasized impact at the AI Impact Summit and announced investments, national partnerships in India, and updates to content-identification tools like SynthID, with access pathways for developers, enterprises, and consumers.

🔧 Google Cloud is extending its Autonomous Network Operations framework with the Gemini-powered Autonomous Data Steward and a Core Network VoLTE Agent, developed with Future Connections and piloted by One NZ. The Steward provides a zero-copy data layer using Dataplex Universal Catalog to expose metadata pointers and give agents access to real-time telemetry without duplicating datasets. The VoLTE Agent leverages that foundation for continuous monitoring, intelligent root-cause analysis of signaling and probe data, and autonomous recommendations to improve voice quality and accelerate operational tasks.

🧭 This post launches Google Cloud's "Data Strategy = AI Strategy" series and reframes the database as the central context engine for production AI. It argues that by using fully PostgreSQL-compatible services such as AlloyDB and Cloud SQL, teams can eliminate latency and improve retrieval accuracy while reducing infrastructure friction. The article emphasizes three enterprise pillars — speed, scale, and security — and describes hands-on labs that cover batch embeddings, real-time inference with Gemini 3 Flash, and row-level security for zero-trust agents.

🛡 Unit 42 discovered CVE-2026-0628, a high-severity flaw in Chrome's new Gemini Live panel that allowed extensions with only declarativeNetRequest permissions to inject JavaScript into the privileged panel context. That injection could escalate extension privileges to access camera and microphone, read local files, take screenshots and render phishing content inside a trusted browser UI. Google was notified on 2025-10-23 and issued a patch in early January 2026. Palo Alto Networks recommends mitigations such as Prisma Browser and related protections.

⚠️ Truffle Security found nearly 3,000 Google Cloud API keys (prefix "AIza") embedded in client-side code that can now authenticate to Gemini endpoints when a project enables the Generative Language API. Attackers scraping sites can use exposed keys to access uploaded files, cached contents, and make LLM calls that charge victims' accounts. Google says it has implemented measures to detect and block leaked keys and advises rotating and restricting exposed keys.

🔒 Researchers at Truffle Security discovered that Google Cloud API keys, historically described as simple billing identifiers (prefix Aiza), began functioning as authentication tokens for embedded Gemini AI instances. A Common Crawl scan in November found 2,863 live, publicly exposed keys, including from major firms and Google itself, which could be used to retrieve uploaded files, cached context, or to consume API quota and incur charges. Google confirmed the issue after disclosure, restricted affected keys, and advises administrators to audit and rotate keys.

🔓 Google Cloud API keys that were once treated as non-sensitive can now authenticate to the Gemini generative AI assistant, creating a new attack path where keys embedded in client-side JavaScript expose private assistant data. TruffleSecurity discovered nearly 2,800 live, publicly accessible keys across sectors — including financial firms and a Google product — by scanning the November 2025 Common Crawl. Attackers who copy exposed keys can call Gemini endpoints to retrieve data or generate costly API usage; developers should audit projects for the Generative Language API, rotate exposed keys immediately, and use detection tools to prevent abuse.

🖼️ Nano Banana 2 is Google’s latest image-generation and editing model, delivering Pro-level image quality and fast iteration for enterprise creative workflows. Powered by real-time web search and integrated with Gemini API in Vertex AI, it provides accurate, localized visuals plus premium features like text rendering, translations, and upscaling to 2K/4K. Enterprise-ready provenance is supported via SynthID and interoperable C2PA Content Credentials to surface how AI was used.

🔒 Android is expanding its AI-driven Scam Detection protections for calls and messages, bringing on-device Gemini models to more Pixel and Samsung Galaxy devices. A real-world example describes a Pixel user who avoided a convincing bank scam after receiving a timely Scam Detection warning during the call. Google Messages protections now cover 20+ countries and multiple languages and have improved detection for sophisticated threats like job-offer and romance “pig butchering” scams. Processing occurs on-device, data aren’t stored or shared, and the feature is off by default and excluded for contacts.

🛡️ AWS security researchers report a Russian-speaking attacker compromised more than 600 FortiGate firewalls between January 11 and February 18, 2026, by exploiting weak or default passwords rather than product vulnerabilities. The actor used a Google Gemini-based AI tool to pivot to additional hosts and deployed reconnaissance tools written in Go and Python. Analysts found clear signs of AI-assisted code generation. Experts urge strong passwords and enabling MFA.

🔐 ESET researchers have identified an Android implant, dubbed PromptSpy, that leverages generative AI to maintain persistence on victims' devices and represents an evolution of earlier VNCSpy samples. The implant sends serialized UI snapshots to Google's Gemini, receives step-by-step Accessibility Service actions to keep the malicious app pinned in Recent Apps, and executes those actions while a VNC module provides remote viewing and control. The initial dropper impersonated JPMorgan Argentina and distributed via mgardownload[.]com; communications use AES-encrypted VNC to a hardcoded C2 at 54.67.2[.]84. PromptSpy also overlays invisible UI elements to block uninstallation; the only reliable removal is rebooting into Safe Mode.

🎿 Using Google Cloud AI and Gemini-era vision from DeepMind, the Google Cloud Team and U.S. Ski & Snowboard built a tool that extracts full 3D biomechanical pose data from ordinary video to measure rotation, posture, and airtime. The system defines a torso-based Body Frame and uses quaternions to compute true angular travel, producing a new metric called Rotational Degrees. Visual outputs like the Cork Ribbon reveal axis tilt and consistency for coaches and broadcasters, helping quantify efficiency and the physical feasibility of higher-degree tricks.

💬 This Google Cloud post by David Tamaki Szajngarten demonstrates how to build a context-aware conversational agent for BigQuery using the Conversational Analytics API powered by Gemini. It provides a reference Python SDK flow to register BigQuery tables, create a DataAgent with system instructions and permitted datasources, and deploy stateful or stateless conversations. The article shows a streaming chat loop that returns generated SQL, DataFrame-like results, Vega‑Lite chart specs, and final natural-language answers, and highlights integration with the Agent Development Kit (ADK) and lifecycle controls.

🚀 Google announced Gemini 3.1 Pro, an upgraded foundation model in the Gemini 3 series that emphasizes deeper reasoning and complex problem solving. The model is available in preview in Vertex AI and Gemini Enterprise, and developers can access it through Google AI Studio, the Gemini API, Android Studio, Google Antigravity, and the Gemini CLI. Early customers report meaningful gains in speed, efficiency, and accuracy across code, 3D transformations, and product design workflows.

🧠 ESET researchers have identified PromptSpy, the first known Android malware to integrate generative AI (Google's Gemini) into its execution flow. The malware sends serialized UI XML to Gemini and receives JSON-formatted tap, swipe, and long-press instructions to navigate device-specific interfaces. This enables robust persistence by programmatically locking the app in Recent Apps and deploying a VNC module for remote control and data exfiltration. Distribution appears limited and regionally focused, but the technique raises broader concerns about AI misuse.

🔗 Gemini CLI's Neo4j extension connects graph databases to Gemini's reasoning via the Model Context Protocol (MCP). The extension bundles four MCP servers to manage Neo4j Aura, translate natural language into Cypher, support interactive data modeling and visualization, and use Neo4j as long-term memory for agentic flows. Developers can provision databases, run Cypher queries, and persist knowledge from the terminal to accelerate GraphRAG workflows.