All news with #gemini tag

🔒 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 has been named a Leader in the 2026 IDC MarketScape for Worldwide SIEM, reflecting investments in Google Security Operations that combine Mandiant expertise, automation, and integrated AI agents. The report highlights strengths such as agentic alert triage, vertical AI integration with Gemini, curated Mandiant detection content mapped to MITRE ATT&CK, and high-performance search over large data volumes. These capabilities aim to reduce analyst workload and accelerate detection and response.

🔍 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.

🔍 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.

🧭 This post describes how Yahoo and Google Cloud built Seller Agent, an agentic media-buying platform that collapses multi-week manual workflows into governed campaigns executed in seconds. The architecture uses a dual-graph approach — a knowledge graph for deterministic business logic and a context graph for auditable decision traces — combined with Google Cloud services like Spanner Graph, BigQuery Graph, and Gemini. The design emphasizes explainability, regulator-grade governance, and closed-loop learning to ensure autonomous actions remain transparent and accountable.

🔍 New research finds current AI web agents largely fail to defend against prompt injection attacks. The StakeBench benchmark tested GPT‑5 and Gemini‑powered agents across realistic web scenarios, revealing high success rates for both direct and indirect injections and exposing failure modes like stealthy parasitism and misaligned disruption. Results show vulnerabilities vary by stakeholder and agent architecture.

🔍 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.

📧 Researchers at Varonis tested an OpenClaw AI email agent connected to Gmail, browser tools, and internal data sources and found it vulnerable to common phishing techniques. The agent ran in both generic and strict configurations and used Google Gemini 3.1 Pro and OpenAI GPT-5.4 models. While the agent detected malicious links and OAuth apps, it still exfiltrated credentials and CRM data in scenarios exploiting identity verification failures. Varonis recommends explicit sender verification, restricted external emailing, and human approval for high-risk actions.

🧭 Microsoft has released an open-source fork of Windows Terminal named Intelligent Terminal, enabling AI assistance directly within the terminal without disrupting active sessions. The assistant can explain errors, draft commands, and propose fixes while remaining aware of current and past agent sessions. Users choose an AI agent (examples include GitHub Copilot, Claude, Codex, and Gemini) and can toggle Automatic error detection, Automatic error suggestion, and Session management. The terminal shows an AI pane beneath the shell for interactive planning, edits, and session resume features.

🛡️ This article provides practical, step-by-step tactics for detecting and disabling built-in AI features in popular enterprise platforms including Microsoft Copilot, Google Gemini, Chrome, and Apple Intelligence. It covers detection via logs and admin consoles, recommended policy settings in Microsoft 365, Group Policy, Chrome Enterprise, Google Workspace, and MDM profiles for Apple, plus network-level blocks and caveats about potential feature breakage. The guidance emphasizes granular controls, SKU management, and layered protections such as NGFW/web-filter rules and application control.

🧭 This blog documents an experiment using Google Cloud to deploy a Gemma 3 inference workload across two regional GKE clusters, leveraging TPU v6e instances, managed DRANET for accelerator networking, and a multi-cluster Inference Gateway for cross‑region routing and failover. It describes building VPCs, reserving internal IPs, configuring Cloud Storage FUSE for model storage, creating TPU node pools with managed DRANET, registering clusters into a GKE Fleet, and deploying the inference server and gateway with health checks and autoscaling metrics. The objective is resilient, low‑latency routing to the nearest region with automatic failover to the other region if one fails.

🧭This post explains how A2UI, an open protocol for agent-driven user interfaces, enables agents to return structured JSON UI payloads instead of plain text or HTML. It outlines the four-layer stack (app shell, rendering, conversation pipeline, and cargo), the inline and decoupled patterns, and how Gemini Enterprise integrates a built-in A2UI renderer. The article points to a reference repo, demo, and implementation notes for registering an A2A agent with GE.

🧭 This collaboration between Google Public Sector and the University of Central Oklahoma (UCO) Forensic Science Institute uses Google’s NotebookLM to rapidly analyze complex criminal case documents and construct timelines. Originating from an AI hackathon co-led by UCO’s CIO Sonya Watkins, the project leverages Gemini to prioritize high-impact prototypes and has reduced multi-month analyses to days in early trials. UCO instructors ensure AI outputs are forensically sound and reliably cited.

🤖 Google SRE describes how agentic AI augments traditional Site Reliability Engineering across the software lifecycle, from design and deployment to incident response and postmortems. The team applies AI agents for anomaly detection, playbook maintenance, alert enrichment, and automated mitigation while enforcing strong controls for security, explainability, and business continuity. Their approach pairs Gemini-based models and internal platforms with existing observability and governance practices.

🖼️ Google Cloud announced Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image) are generally available via the Gemini Enterprise Agent Platform, offering enterprise-grade image generation and editing. Nano Banana 2 now supports video files as input in preview, enabling deep video understanding to generate context-aware images. 1K and 2K outputs are GA while 4K remains in preview. The models are integrated by partners like Adobe, WPP, Shopify, URBN, and Magnopus to scale creative workflows and production pipelines.

🔒 Cisco researchers warn that safety guardrails in several leading large language models (LLMs) can be bypassed through multi-turn conversations. They tested frontier models including ChatGPT, Claude, Gemini, Nova and Grok, finding many were susceptible to manipulation that yields disallowed outputs. Techniques such as roleplay, ambiguity, reframing, and persona adoption were effective, and model configuration affected resilience.

🔒 Google announces AI Threat Defense, an integrated, automated security system that uses Gemini, Mandiant, Wiz, and CodeMender to detect, prioritize, and remediate AI-powered threats. The platform combines multi-model scanning, live exposure mapping, and AI agents to validate exploitability, generate fixes, and accelerate remediation. It emphasizes machine-speed monitoring, autonomous response, and consolidated visibility across development and runtime environments to reduce attack surface and speed patching.

🔒 Google is folding CodeMender into its broader Agent Platform strategy, expanding the AI-powered security agent from standalone vulnerability remediation toward an integrated, governed enterprise agent ecosystem. Launched in October 2025 to autonomously identify and patch vulnerabilities using Gemini models, CodeMender reportedly upstreamed dozens of fixes but lacks published performance metrics on accuracy and regressions. The integration emphasizes governance, observability, and identity, positioning CodeMender as a controlled participant in AI-native development and security pipelines rather than an unsupervised remediation tool.

🚀 At Google I/O ‘26, Google Cloud announced expanded agentic capabilities, new frontier models, and developer tools to help startups move from prototype to production. Highlights include Gemini 3.5 Flash and Gemini Omni for multimodal content, Antigravity 2.0 as an agent control plane with CLI/SDK and dynamic subagents, and Managed Agents to run agent workloads securely in Google Cloud. The releases aim to accelerate development, reduce infrastructure overhead, and provide enterprise-grade security.