All news with #gemini tag

🔒 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.

🤖 Today at Google I/O, Google Cloud announced a broad set of AI advances delivered through Gemini Enterprise and Google Workspace, including Gemini 3.5 Flash, Gemini Omni, Antigravity, and Gemini Spark. These offerings include new models, an Agent Platform with a Managed Agents API, and CodeMender for automated code security. The updates emphasize agentic workflows, multimodal content creation, enterprise-grade security, and faster, cost-efficient model performance.

🤖 The Gemini Live Agent Challenge drew 11,878 participants and 1,536 submissions from 151 countries, inviting developers to build next-generation multimodal AI agents with the Gemini Live API, the Agent Development Kit (ADK), and Google Cloud infrastructure. Entries competed across three categories — Live Agent, Creative Storyteller, and UI Navigator — producing winners like ORION, drone-copilot, and Sankofa. Two category winners presented their projects at Google Cloud Next 2026 and shared insights on stage and in interviews. The post lists all winners and highlights routes for developers to continue building, including GEAR and weekly livestreams.

📱Glance built an automated pipeline to convert long-form landscape videos into short, vertical clips optimized for mobile lock screens. The system uses Google Cloud Speech-to-Text v2, Gemini, and the Vision API together with Samurai, OpenCV and MoviePy to identify key moments, detect active speakers, and reframe shots intelligently. It supports split-screen stacking, word-level “Karaoke-style” captions, automated branding overlays, and smoothing techniques to scale production from thousands to tens of thousands of daily clips.

🔍 Google Cloud presents a SIGMOD paper introducing proxy models—cost‑optimized, ultra‑lightweight models that replace most LLM calls in AI-powered SQL functions. They rely on precomputed embeddings (using Gemini) and simple classifiers (currently logistic regression) to deliver orders‑of‑magnitude reductions in latency and token costs. BigQuery and AlloyDB implement this optimization with online training in BigQuery and PREPARE-based offline training in AlloyDB. The technique performs well for many semantic filters but can fail on tasks requiring complex reasoning or extreme selectivity.

📊 Database Center now offers an AI-native manageability interface powered by Gemini, delivering fleet-wide visibility across Google Cloud managed databases. It introduces Gemini-backed recommendation validation (coming soon) to simulate performance impacts before applying changes like new indexes or machine upgrades. Additional enhancements include inventory, end-to-end lineage, and automated health checks to reduce MTTR and operational overhead.

🚀 The Gemini CLI CI/CD extension lets developers deploy functional apps directly from a terminal, closing the gap between local prototyping and production pipelines. It performs a pre-deployment secret scan, analyzes project files, and can containerize using buildpacks before deploying to Cloud Run or Cloud Storage. For production workflows it can design CI/CD pipelines, provision resources, and generate Cloud Build YAML and triggers.

🚀 Today Google Cloud announced that Gemini 3.1 Flash-Lite is generally available on Gemini Enterprise. Built for ultra-low latency, high-volume workloads, and maximal cost-efficiency, Flash-Lite is positioned for production deployments that require fast, iterative responses and precise agentic capabilities such as tool calling and orchestration. Early adopters report significant reductions in latency and operating cost while retaining robust reasoning for developer assistants, customer service agents, and multimodal creative pipelines.

🧠 Doist built Ramble to capture stream-of-consciousness speech and convert it into structured tasks using Gemini Enterprise Agent Platform. The feature streams raw PCM audio directly to the model for simultaneous language detection, speech recognition, and semantic parsing, enabling proactive tool calls (addTask, editTask, deleteTask) and robust session resumption across devices. A layered, provider-agnostic streaming architecture supports future voice features and easy provider substitution. Outcome: fast, multilingual, real-time task capture that tolerates messy speech and offline interruptions.

🔒 At Next '26 Francis deSouza framed Google Cloud's direction as preparing enterprises for an agentic future, positioning the platform as AI‑native, open, and secure. He argued that multicloud and multi‑AI are essential for resilience and highlighted AI-driven SOC automation outcomes including a 90% reduction in mitigation time and Triage and Investigation tasks collapsed from 30 minutes to 60 seconds using Gemini. The integration of Wiz was presented as a way to secure self‑hosted and multicloud AI lifecycles, while a new whitepaper and the Gemini Enterprise Agent Platform outline governance, prompt sanitization, and agent identity controls.

🔎 Google Threat Intelligence scanned a large Common Crawl corpus to detect indirect prompt injection (IPI) patterns embedded in public web pages. The team combined signature-based pattern matching, Gemini-assisted classification, and manual review to reduce false positives and contextualize findings. Most observed injections were low-sophistication—pranks, benign guidance, or SEO-driven prompts—but a smaller and rising set attempted data exfiltration or destructive actions. The study excludes social media and login-protected content and reports a 32% increase in malicious samples between Nov 2025 and Feb 2026.

🔒 At Google Cloud Next 26, COO Francis DeSouza said Google will not release a separate cyber‑focused frontier model and instead relies on the generalist Gemini3.1 Pro for security use cases. He advised pairing a strong general model with the right tooling, governance and access controls and training it on organisation‑specific context. Google plans to combine Gemini with agent and platform capabilities to support automated detection, triage and response. Competitors such as Anthropic and OpenAI are pursuing specialised variants like Claude Mythos and GPT‑5.4‑Cyber.

🔒 Ads Advisor in Google Ads is gaining three agentic safety features to streamline policy compliance, account protection and certification management. Real-Time Policy Reviews scan accounts and websites to flag complex violations, explain the issue and confirm fixes before you appeal. A 24/7 security monitoring layer and security insights dashboard surface personalized recommendations and support passkeys. Ads Advisor will also detect certificate requirements and either auto-grant or facilitate one-click applications; these Gemini-powered capabilities arrive in the coming months and initially roll out to English accounts globally.

🛡️ Google says it now relies heavily on Gemini AI to detect and block malicious ads across its advertising platforms, reporting 8.3 billion ads blocked or removed and 24.9 million advertiser account suspensions in 2025, including 602 million scam-related ads. Gemini analyzes billions of signals—beyond simple keywords—such as advertiser behavior, account history, campaign patterns, and intent to identify threats. The company reports faster processing of user reports and an 80% reduction in incorrect advertiser suspensions, and it plans to extend Gemini-driven, submission-time reviews to more ad formats.

🔊 Gemini 3.1 Flash TTS is now available on Google AI Studio and Vertex AI, delivering high-fidelity, expressive speech with granular control. Developers can steer voice style, pacing, and non-verbal cues using 200+ inline audio tags and select from 70+ languages and 30 prebuilt voices. Generated audio is watermarked with SynthID to help identify AI-created content. The model supports programmatic annotation workflows to scale long-form or batch audio generation.

🤖 Google positions Gemini Enterprise as a unified agentic platform and offers Gemini for Government to help public sector organizations move beyond pilots to agency-wide deployments that accelerate mission outcomes. Agencies including the CDAO, DOT, and FDA are deploying agents for administrative tasks, regulatory reviews, and scientific collaboration, while state and local governments modernize services and constituent support. Google highlights an integrated stack built for velocity, precision, cost efficiency, and security, cites industry recognition, and invites leaders to engage at Google Cloud Next.

🔍 QueryData launches in preview, offering near-100% accuracy translating natural language into database queries across AlloyDB, Cloud SQL (MySQL and PostgreSQL) and Spanner. Built on Google Cloud’s Gemini LLM and augmented by rich database context, it uses schema ontologies, query blueprints and ambiguity detection to generate precise queries. Deterministic security is enforced via Parameterized Secure Views (PSVs), and integration is supported through a unified QueryData API, the MCP Toolbox for Databases, and context-engineering tools including an Evalbench framework.

🔒 Google Cloud now enables essential AI and cloud security by default via an enhanced Security Command Center (SCC) Standard tier automatically turned on for eligible customers. The free Standard tier includes a unified AI protection dashboard with detection for unprotected Gemini inference, LLM and agent guardrail reporting, and four baseline AI posture controls. It also adds expanded misconfiguration checks, DSPM, Compliance Manager, agentless vulnerability scanning, and in-context findings in Cloud Hub, GCE, and GKE dashboards.

🔒 A flaw in Google's API key model has allowed embedded Android app keys to gain silent access to the Gemini AI endpoints when the API is enabled in a project. CloudSEK's April 8 advisory found 32 active keys across 22 apps with more than 500 million installs and demonstrated retrieval of user-uploaded audio via the Gemini Files API. Developers should immediately audit projects, rotate exposed keys and apply strict API restrictions.