All news with #google cloud tag

🤖 At Google Cloud Next '26, Google introduced the Gemini Enterprise Agent Platform to help teams build, deploy, scale, govern, and optimize autonomous AI agents in production. The series highlights long-running state management in Agent Runtime, a layered Agent Governance Stack, orchestration patterns in the Agent Development Kit (ADK), integration standards, and prebuilt blueprints in Agent Garden.

🚀 Google announced that Cloud Composer is now Managed Service for Apache Airflow and that Apache Airflow 3.1 is Generally Available to support AI and MLOps workloads. The release introduces a decoupled architecture, native DAG versioning, managed backfills, event-driven scheduling, and Human-in-the-Loop alerts. Managed Airflow embeds a Data Engineering Agent for agentic troubleshooting, adds a declarative YAML-based Deployment Automation Framework with cross-product bundles, and launches an MCP Server in public preview to reduce developer context-switching.

🚀 At Google Cloud Next '26, Firestore introduced expanded agentic AI integrations, built-in full-text search, and deeper MongoDB compatibility aimed at accelerating agent-driven applications. The Enterprise edition’s reimagined query engine adds hundreds of expressive query features, JOINs via subqueries, and pipeline operations. Native connections to AI Studio and third-party coding agents plus preview tools like natural language console querying and Usage Insights simplify building agentic workflows. These capabilities are available now in Firestore Enterprise in both Native and MongoDB compatibility modes.

🔒 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 Cloud Next ’26 introduced an integrated AI stack for startups centered on Gemini Enterprise, an end‑to‑end agent lifecycle platform with an Agent Development Kit, Agent Studio, and production runtimes that support sub‑second starts and persistent memory. The Agentic Data Cloud and zero‑ETL features enable cross‑cloud data access and high‑accuracy text‑to‑SQL to avoid costly migrations. Infrastructure updates (TPU 8t/8i, Axion N4A, new networking machines, and GKE sandboxes) plus agentic security integrations and a $750M partner fund aim to accelerate prototyping, secure production deployments, and enterprise go‑to‑market.

🤖 UKG built People Fabric to unify its legacy HCM and WFM systems into a single, real-time data and intelligence platform powered by AlloyDB for PostgreSQL and Google's Agentic Data Cloud. The platform establishes a canonical data model, ingests change streams via a custom CDC pipeline and Dataflow, and serves operational queries from AlloyDB while routing analytics workloads to BigQuery and tenancy metadata to Cloud SQL. The outcome is millisecond read-after-write behavior, native vector support for AI agents, and faster developer velocity across 126 application teams and thousands of database instances.

🔌 At Google Cloud Next ’26, Google announced that more than 50 Google-managed MCP servers are generally available or in preview, enabling AI agents to connect securely to Google and Google Cloud services without local MCP deployments. The managed endpoints integrate with major agent runtimes and frameworks including Gemini CLI, LangChain, ADK, and others, supporting Resources and Prompts as protocol primitives in addition to Tools. The offering emphasizes enterprise-grade security, governance, and observability through native IAM controls, Model Armor content safety, OpenTelemetry tracing, and Cloud Audit Logs.

🔒 Google Cloud explains how the BSI's new C3A framework validates and shapes its approach to digital sovereignty in Germany. The post presents a tiered Sovereign Cloud portfolio—Data Boundary, Google Cloud Dedicated, Google Distributed Cloud, and Sovereign Workspace by StackIT—designed to deliver graduated isolation, local control and compliance with European rules. It highlights collaboration with German partners and the direct integration of C3A criteria into product design to give public-sector and enterprise customers choice without vendor lock-in.

🚀Google announced a broad expansion of AI infrastructure at Google Cloud Next, presenting the AI Hypercomputer — an integrated stack of dedicated hardware, software, and flexible consumption models. The release highlights new accelerators including TPU 8t and TPU 8i, A5X GPU instances, and Axion N4A CPUs, plus megascale Virgo networking and storage improvements. These changes target agentic workloads to improve latency, utilization, and cost-efficiency for enterprise and consumer AI.

⚙️ At Google Cloud Next '26, Google announced Fluid Compute and a broad set of compute, networking, and storage updates to support both traditional and agentic AI workloads with better performance and lower cost. Key moves include GA of the Arm-based Axion N4A, a GKE Agent Sandbox running on Axion, previews of bare-metal Axion C4A.metal and network-optimized C4N, and expanded Flexible Committed Use Discounts. The changes emphasize elastic scaling for spiky agent workloads, isolated runtime sandboxes, and higher I/O and VM-to-VM bandwidth to reduce contention and TCO.

🛰️ Google has extended geospatial analytics in BigQuery, integrating Google Earth AI models and new datasets to enable richer planetary and community insights. Announced at Google Cloud Next '26 and with recent March updates, the release includes Street View Insights (GA) with upcoming LiDAR, experimental Aerial and Satellite Insights, and licenseable Aerial & Satellite Models in Model Garden. These capabilities aim to accelerate infrastructure assessment, logistics planning, renewable-energy siting, and public-sector decision-making by bringing multi-perspective imagery and derived datasets directly into analytics workflows.

🤖 Google Cloud Next '26 in Las Vegas showcased a broad enterprise push into the agentic era, with over 32,000 attendees and 260 product, partner, and customer announcements. Highlights include the new Gemini Enterprise Agent Platform, the Gemini Enterprise app, 8th-generation TPUs, and a host of agent-focused capabilities for development, runtime, memory, observability, and governance. The week emphasized production readiness, cross-cloud data integration, and strengthened security through the Wiz acquisition and Model Armor integrations.

🤝 Palo Alto Networks and Google Cloud announced integrated protections to secure the shift from generative to agentic AI. Native Prisma AIRS integration with Google Cloud Gemini Enterprise Agent Platform governs agentic workflows and prevents runtime agent risks, prompt injection, and sensitive-data leakage. A Palo Alto Networks template in Google Cloud’s Application Design Center enables security-as-code, while Advanced WildFire is embedded in Google Cloud NGFW Enterprise for inline sandboxing and zero-day prevention. A Prisma AIRS Model Security agent will be available via the Google Cloud Marketplace as Agent-as-a-Service and runs inside customers’ Google Cloud environments.

🔒 Palo Alto Networks and Google Cloud outline a platform-based approach to scale AI agents securely for business-critical use. The post emphasizes a layered architecture and more than 80 co-engineered integrations to provide visibility, lifecycle management and AI-driven security across hybrid cloud environments. It highlights $2.4 billion in GCP bookings and four 2026 Google Cloud Partner of the Year awards as evidence of proven scale and customer impact.

🔐 The shift from access-based controls to action-oriented outcome control is redefining application security as AI agents reason, act, and interact with systems. The blog outlines how Google Cloud’s Gemini Enterprise Agent Platform creates a centralized control point for agentic systems, enabling identity, access, policy enforcement, and observability. It frames outcome control as essential to manage the new operational risk posed by agents.

🚀 Check Point is rolling out an AI-powered Cloud Firewall as a Service available for preview on Google Cloud and already supported on AWS and Microsoft Azure. The managed service removes the burden of running firewall infrastructure, giving DevOps and security teams time to focus on policy management, compliance, and strategic initiatives. It delivers AI-driven security intelligence, automated policy orchestration, centralized control, and advanced threat prevention across multi-cloud environments. Demos will be shown at Check Point Booth #3101 during Google Next.

🧭 Google published an official Agent Skills repository to provide compact, agent-focused expertise for Google Cloud products and best practices. Skills are Markdown-based, modular documents that include code snippets and assets and are designed to be loaded by agents only as needed, reducing the risk of context bloat and token cost spikes. The initial release includes thirteen skills spanning BigQuery, GKE, Cloud Run, AlloyDB, Firebase, the Gemini API, Well‑Architected pillars like Security and Cost Optimization, and operational recipes. Installable via the skills CLI, these assets work with agents such as Antigravity, the Gemini CLI, and other third-party agents.

🚀 At Google Cloud Next '26, developers and practitioners are offered 55+ new hands-on codelabs, with a curated list of 10 highlighted labs designed to translate conference announcements into working code. Contributors Megan O'Keefe and Karl Weinmeister emphasize a practical shift—89% of sessions focus on AI—and these labs target multi-agent orchestration, data grounding, deployment, and enterprise security. Each lab provides step-by-step guidance to build, ground, secure, and scale agentic systems using Google Cloud tools.

🚀 At Next '26 Google Cloud presented a unified vision and product set to put the Agentic Enterprise into production, led by Gemini Enterprise and a new AI Hypercomputer. Announcements include the Gemini Enterprise Agent Platform and app, TPU 8-series chips for training and inference, an Agentic Data Cloud, and Agentic Defense in partnership with Wiz. Emphasis was placed on enterprise security, observability, and multi-vendor openness for regulated deployments.

🚀 Startups are accelerating agentic AI on Google Cloud, using an integrated AI stack—from models and specialized TPU/GPU compute to cross-cloud lakehouses and security—to move prototypes into production across healthcare, finance, gaming, and media. Companies like Lovable and OpenEvidence illustrate real-world adoption, while Gemini Enterprise Agent Platform, NVIDIA GPU access via the AI Hypercomputer, and Marketplace integrations aim to reduce procurement friction and speed commercialization. Google also announced a $750M partner fund and developer programs to support startups.