All news with #google tag

📡 Modern telecom networks require domain-specific AI because general models lack the precise, vendor-specific context needed for mission-critical operations. GSMA’s Open Telco AI platform and AT&T’s OTel family—fine-tuned on Google’s open-source Gemma models—use curated telco datasets and RAG-based abstention to reduce hallucinations. The initiative produced 30 optimized models, demonstrated strong Gemma performance in AT&T tests, and already exceeded 18 million downloads.

🔒 Google is expanding its financial services advertiser verification program to cover all EU and EEA member states, adding 24 countries to its rollout. The program builds on existing advertiser identity checks and Gemini-powered defenses to block harmful or unauthorized ads. Advertisers must complete verification against national registries within 30 days or face restrictions on financial ads. This aims to increase trust in online financial advertising and reduce scams.

🔒 Google will begin enforcing Android developer verification on September 30, 2026, in Brazil, Indonesia, Singapore, and Thailand. Certified devices from major OEMs will block normal installs of apps whose developers have not registered an identity with Google, affecting sideloaded and independent apps most. The Android Developer Verifier service rolls out to phones running Android 8+ starting June, with APIs and limited-distribution accounts arriving mid-year.

🔐 Threat actors abused trusted services — Google Ads, GitLab Pages, and Claude’s shared-chat feature — to trick developers into executing malicious PowerShell and terminal commands via ClickFix social engineering. Researchers at TrendAI observed a six-wave campaign that funnelled over 2,000 victims from sponsored search results to malicious pages and then to weaponized Claude shared chats. By impersonating popular developer tools and brands, the attackers leveraged reputation stacking to make their lures appear legitimate and evade detection.

🔒 Google has notified advertisers it will begin using IP addresses to identify devices for ad measurement and personalization across the EEA, UK and Switzerland on or shortly after August 3, 2026. The change repurposes IPs — already transmitted to route traffic and deliver ads — for purposes that trigger consent requirements under UK and EU law. Google will register for IAB Europe TCF Feature 3 and says it will rely on privacy-enhancing technologies while offering later user choices on its properties. Advertisers remain responsible for obtaining valid consent under Google’s EU User Consent Policy.

🔒 A design flaw in the Vertex AI SDK for Python allowed attackers to hijack model staging buckets across projects by predicting bucket names derived from project ID and region. Unit 42 researchers called this class of issue Bucket Squatting, where global bucket name uniqueness enabled pre-creation and silent takeover. The flaw could lead to cross-tenant model poisoning and remote code execution via pickle deserialization. Google issued fixes in SDK versions 1.144.0 and 1.148.0 and users should upgrade.

🔧 This guide explains how to build and deploy a remote Model Context Protocol (MCP) server on Google Kubernetes Engine (GKE) using the Streamable HTTP transport. It covers prerequisites, creating a simple math MCP server with FastMCP, local testing, containerizing the server, and pushing the image to Artifact Registry. Finally, it details deploying to GKE Autopilot and exposing the server securely with the Kubernetes Gateway API and managed SSL.

🛡️ Palo Alto Networks Unit 42 disclosed a flaw in the Google Cloud Vertex AI Python SDK that let an attacker with only their own Google Cloud project and a victim's project ID hijack model uploads and execute code in Vertex AI serving containers. Google fixed the issue; users must update to google-cloud-aiplatform version 1.148.0 or later and explicitly set a staging_bucket. The bug arose from predictable default bucket names and lack of ownership checks, enabling an attacker to precreate the bucket, swap uploaded model files (often pickled), and run malicious code when Vertex AI loaded the model.

🔍 Google is updating Looker Explore with integrated AI assistants and a refreshed interface to help users surface insights faster. The release includes ad hoc Quick Starts powered by Gemini models, a Conversational Analytics-powered Insight Assistant for natural-language prompts, and automatic translation of user descriptions into Looker Expression syntax. The UI improvements include a resizable field picker, contextual data table menus, visual pivots, and a redesigned Merge Query workflow with smart joins and higher row limits.

🔧 Google announces Brazos, a rack-mounted, closed-loop liquid-to-air cooling solution designed to enable high-density AI and HPC gear within traditional air-cooled data centers. Brazos separates the internal IT liquid loop from facility water, enabling one-rack-at-a-time deployment and avoiding costly chilled-water retrofits. The modular design features three cooling units, integrated rack manifolds, and hot-swappable FRUs for field serviceability, and it fits OCP ORv3 form-factor racks. Google plans to open-source Brazos specifications and encourage industry adoption through forums like the Open Compute Project.

🛡️ We discovered a vulnerability in the Google Cloud Vertex AI Python SDK that allowed an attacker to hijack a model upload and poison it, enabling remote code execution (RCE) in a victim's serving infrastructure. The issue stems from a predictable default staging bucket name and a missing ownership check in the SDK. By creating the same deterministic bucket in their own project and granting broad permissions, an attacker could replace uploaded model artifacts within a short window before Vertex AI reads them. Google fixed the issue in google-cloud-aiplatform v1.148.0 released April 15, 2026; developers should upgrade to the patched SDK.

🔍 At Google Cloud, collaboration with customers guided a technical sprint in January 2026 with a major telecommunications partner to refine Model Armor, the runtime security service for generative AI. By embedding with the customer's developers and security teams, the Google Cloud Developer Advocacy group observed real-world workflows and identified friction points such as search-first documentation needs, tuning confidence levels to avoid false positives, clearer enforcement guidance, and IAM-related 403 errors during integrations. The team translated these findings into tested code samples, a confidence level matrix, explicit integration guides for Apigee, Gemini Enterprise Agent Platform, and GKE, and deeper technical documentation to improve operational utility and reduce deployment friction.

🤖 Google announces expanded Agentic Data Cloud capabilities, introducing new data agents and tools to enable conversational analytics and agent-driven workflows across BigQuery, Lakehouse, AlloyDB, Spanner, and Cloud SQL. The update includes Data Engineering, Data Science, Database Observability, Looker Dashboard, Data Insights, and Deep Research agents, plus developer toolkits like the Data Agent Kit and Managed MCP servers. These features aim to ground agents in real-time enterprise data with unified governance and near-100% accuracy for tasks such as NL-to-SQL conversions and automated pipeline maintenance.

⚠️ Google issued fixes for 74 Chrome flaws, including an actively exploited V8 out-of-bounds memory access (CVE-2026-11645). This week's recap highlights exploited enterprise bugs like Oracle PeopleSoft and Check Point VPN, large-scale supply-chain and package abuse in Arch's AUR, and the takedown of a major phishing-as-a-service operation. Practical guidance and trending CVEs round out the update.

🔎 The FBI, collaborating with Google and Black Lotus Labs, dismantled a China-linked phishing-as-a-service operation called Outsider Enterprise that used AI and distributed phishing kits across thousands of fraudulent websites and over a million URLs. Authorities seized administrative servers, a Shopify storefront, testing accounts, and roughly $100,000 in USDT, while redirecting many malicious domains to an FBI splash page. Google reports hundreds of thousands of affected users and has filed a civil suit against the infrastructure while coordinating with carriers to block fraudulent SMS campaigns.

🛡️ Google is taking legal, technical, and legislative steps to disrupt large-scale AI-enabled phishing and smishing campaigns. The company filed a civil lawsuit against the China-based “Outsider Enterprise,” coordinated with the FBI and telecom partners to block malicious texts, and is advocating bipartisan federal legislation to strengthen protections. Google also leverages AI-driven detection on Android and messaging defenses to intercept malicious messages at scale.

🔍 Looker introduces dashboard agents in preview to enable conversational, in-dashboard exploration of BI data. The agent leverages the dashboard’s filters, cross-filters, and curated tiles to provide context-aware answers and can access underlying Explores for additional detail. Analysts can configure the agent with natural-language instructions to align responses with business logic, and the system surfaces intermediate reasoning, cited tiles, and applied filters to build user trust. Admins enable the feature in Looker 26.08.11+ via the Gemini settings.

🚀 AWS announces availability of the Gemma 4 family from Google DeepMind on Amazon Bedrock. The offering includes three variants—Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B—covering dense and MoE architectures with multimodal and multilingual support. Models run on new Bedrock optimizations for tool calling, structured output, reasoning, and streaming, and are initially available in several AWS Regions.

🔒 CISA added three vulnerabilities to its Known Exploited Vulnerabilities (KEV) catalog after reports of active exploitation. The flaws include an authenticated command injection in Cisco Catalyst SD-WAN Manager (CVE-2026-20245), a V8 out-of-bounds read/write in Google Chrome (CVE-2026-11645), and a tunnel decapsulation issue in Arista EOS (CVE-2026-7473). Agencies must remediate or mitigate these issues by June 23, 2026.

🛡️ Google details how Google Security Operations pairs with Google AI Threat Defense to detect, investigate, and contain AI-accelerated attacks across cloud and enterprise environments. The post explains three specialized agents — Detection Engineering, Triage and Investigation, and Threat Hunting — that translate threat intelligence into custom detections, autonomously investigate alerts, and proactively hunt stealthy compromises. These agents use diverse telemetry, simulated events, and AI-driven automation to reduce time-to-detection and speed remediation, addressing gaps where patching is impossible or delayed.