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714 articles · page 20 of 36

CQL-compatible Cassandra APIs Available on Spanner

☁️ Google Cloud has made the native endpoint for Cassandra Query Language (CQL) generally available on Spanner, allowing Apache Cassandra applications to use familiar CQL with minimal code changes. Customers can migrate with as little as a one-line change and leverage Spanner’s strong consistency, virtually unlimited scale, geo-partitioning, and enterprise SLAs. The release pairs the CQL compatibility layer with bulk and live migration tools so teams can consolidate operations onto a managed, multi-model platform.
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Measuring Freestyle Snowboarding Physics with Google AI

🎿 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.
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BigQuery Launches Autonomous Embedding Generation Service

🔁 BigQuery now provides autonomous embedding generation that automatically maintains an embedding column derived from a source column, eliminating manual embedding pipelines and synchronization burdens. The managed column is defined via familiar SQL (GENERATED ALWAYS AS AI.EMBED) and can be stored asynchronously. It integrates with VECTOR_SEARCH and a new AI.SEARCH function, and supports secure calls to Vertex AI models with connection-based permissions. The feature is available in preview.
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Building conversational agents for BigQuery with Gemini

💬 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.
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Partnering for AI Growth: Sovereignty and Competitiveness

🔒 Google Cloud argues Europe does not need to choose between digital sovereignty and economic growth. The company promotes a partnership-led model that combines advanced AI capabilities (including Gemma and Gemini-class technology) with flexible infrastructure and multicloud choice. Emphasis is placed on interoperability, local control, and security certifications such as SecNumCloud, along with options like Google Cloud Air-Gapped and Dedicated deployments. The aim is to enable growth while preserving control and resilience.
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Google Releases Gemini 3.1 Pro for Enhanced Reasoning

🚀 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.
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PromptSpy: GenAI-driven Android malware abuses Gemini

🧠 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.
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America-India Connect Expands AI Infrastructure Globally

🌐 Google today announced America-India Connect, a multi-year initiative anchored by a five-year $15 billion AI infrastructure investment in India to expand connectivity across four continents. The program will build a new subsea gateway in Visakhapatnam, add three subsea paths linking India to Singapore, South Africa, and Australia, and deploy four strategic fiber-optic routes between the United States, India, and Southern Hemisphere locations. These investments aim to boost network resilience, capacity, and affordable access to digital services while supporting skilling and government training platforms.
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Resilience in the AI Era: Google's Call at MSC 2026

🔒 At the 62nd Munich Security Conference, Kent Walker (President, Google & Alphabet) argued that fragmented defenses are inadequate against AI-accelerated cyber threats and the near-term risk from cryptographically relevant quantum computing. Google highlighted GTI findings that adversaries are automating reconnaissance and producing hyper-realistic phishing, and showcased the Ukrainian startup LetsData, which uses AI to scan multilingual media and detect InfoOps at scale. To scale defender advantages, Google launched the Gemini Startup Forum: Cybersecurity and promotes deployment options such as Google Distributed Cloud Air-Gapped for sovereign, secure use of its infrastructure. Walker urged governments, industry, and vendors to adopt a full-stack, collaborative approach—breaking silos and modernizing procurement—to build shared digital resilience.
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BigQuery Global Queries: Query Distributed Data Globally

🌐 BigQuery now supports global queries (preview), letting you run a single standard SQL statement across datasets stored in different geographic regions without building ETL pipelines. BigQuery orchestrates distributed execution by running region-specific operations, transferring partial results to a chosen execution location, and combining them to produce final results. The feature is disabled by default and requires administrator opt-in and explicit per-user permissions. It respects VPC Service Controls and gives you control over where queries execute to help meet compliance and data residency requirements.
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Google Issues Patch for In-the-Wild Chrome Zero-Day

🔒 Google has released an urgent security update for Chrome to address CVE-2026-2441, a high-severity zero-day affecting desktop builds on Windows, macOS and Linux. The flaw, rooted in a CSS processing issue, can allow a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. Google confirmed an exploit is already in the wild and credited researcher Shaheen Fazim for reporting the bug on February 11; the company issued the patch on February 13.
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Google patches first Chrome zero-day exploited in attacks

🔧 Google released emergency updates to fix a high-severity Chrome zero-day (CVE-2026-2441) that is being exploited in the wild. The flaw is a use-after-free caused by an iterator invalidation bug in CSSFontFeatureValuesMap, and Google pushed a backported patch across stable branches. Fixes are rolling out to Windows and macOS (145.0.7632.75/76) and Linux (144.0.7559.75); users should update or let Chrome apply updates automatically. Google noted additional related work remains tracked in bug 483936078.
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Google patches Chrome zero-day CVE-2026-2441; active exploit

⚠️ Google released updates for Chrome to patch CVE-2026-2441, a high-severity (CVSS 8.8) use-after-free vulnerability in CSS that has been confirmed as exploited in the wild. Discovered by researcher Shaheen Fazim on Feb 11, 2026, the bug can enable remote code execution inside Chrome's sandbox via a crafted HTML page. Users should update to 145.0.7632.75/76 (Windows/macOS) or 144.0.7559.75 (Linux) and ensure Chromium-based browsers receive equivalent fixes.
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Google Detects Large-Scale Attempt to Clone Gemini

🔒 Google detected and blocked a coordinated campaign of more than 100,000 prompts it says were designed to extract the proprietary reasoning capabilities of its Gemini model. The requests resembled model-extraction or distillation efforts intended to reproduce internal reasoning traces across multiple languages, and Google says it intervened in real time to reduce the immediate risk. The company cautioned that systematic extraction can amount to intellectual property theft and said it will pursue takedowns and legal remedies while trying to balance legitimate research and evaluation needs.
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GTIG AI Threat Tracker: Distillation and Integration

🛡️ Google Threat Intelligence Group (GTIG) reports rising adversarial use of AI in Q4 2025, including widespread model extraction, AI-augmented reconnaissance, social engineering, and trials of agentic tooling. GTIG and Google DeepMind detected and mitigated numerous extraction attempts, protected internal reasoning traces, and disabled abusive assets in real time. The update describes AI-enabled proofs-of-concept (for example HONESTCUE and COINBAIT), abuses of shareable chat outputs, underground proxy toolkits, and published IOCs to support defenders.
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Google updates parental controls and youth protections

🔒 On Safer Internet Day, Google and YouTube announced updates to parental controls, wellbeing defaults and educational resources to help kids and teens navigate the online world. Family Link's redesigned interface centralizes device management, screen-time controls and app restrictions, while YouTube simplifies kid account setup, adds Shorts timers and applies age-estimation and default privacy protections for under-18 creators. Additional tools include Android School time, a Gemini Guided Learning mode to promote critical thinking, and the Be Internet Awesome AI literacy guide for classrooms.
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Safer Internet Day: Five Tips for Safe AI Learning

📚 Google offers five concise tips for safer, more effective learning with AI, aimed at students, parents, and educators ahead of Safer Internet Day. Recommendations include setting online/offline boundaries with tools like SafeSearch and Family Link, plus a "School time" mode for focused study. The guidance also stresses critical thinking, spotting AI content with methods such as SIFT and platform signals like About this image and SynthID, while encouraging parental involvement and programs like Be Internet Awesome.
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Preparing for the Quantum Era: A Call to Secure PQC

🔐 Google issues a call to action to protect digital systems against quantum threats, outlining its post-quantum cryptography (PQC) work and policy recommendations. The company warns that large-scale quantum computers could break current public-key cryptography and cautions about 'store now, decrypt later' harvesting of encrypted data. Google commits to research transparency, completing PQC migrations within NIST guidelines, and strengthening crypto agility, critical shared infrastructure, and ecosystem readiness.
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GKE Inference Gateway Cuts Latency for Vertex AI Performance

🚀 The Vertex AI team deployed the GKE Inference Gateway, built on the Kubernetes Gateway API, to reduce inference latency and improve cache efficiency without a custom scheduler. The gateway applies load-aware routing—scraping Prometheus metrics like KV cache utilization and queue depth—and content-aware routing that inspects request prefixes to send traffic to pods with warm context. In production this cut Time to First Token by ~35% for Qwen3-Coder, improved P95 by ~52% for a bursty chat model, and doubled prefix-cache hit rates from 35% to 70%.
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Google Cloud Adds Anthropic Claude Opus 4.6 to Vertex AI

🚀 Google Cloud has added Anthropic's Claude Opus 4.6 to Vertex AI, extending its curated model catalog for enterprise and agentic workloads. Opus 4.6 is positioned for complex coding, polished document and spreadsheet generation, advanced tool calling, and sophisticated multi-step agents. Feature highlights include GA support for adaptive thinking, an effort parameter, 128k output tokens, and previews for a 1M context window and compaction API. Google emphasizes managed agent tooling, governance, and infrastructure to deploy Claude-powered agents at scale.
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