All news with #google cloud tag

Enterprises Move From Static Secrets to Managed Identities

🔐 Organizations are rapidly replacing embedded API keys and passwords with platform-native managed identities to reduce manual credential management and leakage risk. Enterprises report significant productivity gains—case studies cite up to a 95% reduction in time spent managing credentials and a 75% drop in time learning platform authentication. While major clouds (AWS, Azure, GCP) and CI platforms have built-in solutions, legacy systems and third-party APIs remain the primary obstacles to eliminating static secrets entirely.

Agent Factory Recap: Securing AI Agents in Production

🛡️ This recap of the Agent Factory episode explains practical strategies for securing production AI agents, demonstrating attacks like prompt injection, invisible Unicode exploits, and vector DB context poisoning. It highlights Model Armor for pre- and post-inference filtering, sandboxed execution, network isolation, observability, and tool safeguards via the Agent Development Kit (ADK). The team demonstrates a secured DevOps assistant that blocks data-exfiltration attempts while preserving intended functionality and provides operational guidance on multi-agent authentication, least-privilege IAM, and compliance-ready logging.

Google Cloud G4 VMs: NVIDIA RTX PRO 6000 Blackwell GA

🚀 The G4 VM is now generally available on Google Cloud, powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and offering up to 768 GB of GDDR7 memory per instance class. It targets latency-sensitive and regulated workloads for generative AI, real-time rendering, simulation, and virtual workstations. Features include FP4 precision support, Multi-Instance GPU (MIG) partitioning, an enhanced PCIe P2P interconnect for faster multi‑GPU All-Reduce, and an NVIDIA Omniverse VMI on Marketplace for industrial digital twins.

Dataproc 2.3 on Google Compute Engine: Lightweight Security

🔐 Dataproc 2.3 on Google Compute Engine provides a streamlined image that includes only the essential core components for Spark and Hadoop, reducing the attack surface and simplifying compliance. The image is FedRAMP High compliant and leverages both automated CVE remediation and manual engineering intervention for complex fixes. Optional tools like Flink, Hudi, Ranger, and Zeppelin are available on-demand during cluster creation, or can be pre-baked into custom images to speed provisioning while preserving the security benefits of the lightweight base.

BigQuery Studio updated with streamlined console UI

🔧 BigQuery Studio unveils a simplified, organized console interface designed to help data analysts, engineers, and scientists work more efficiently. The update introduces an expanded Explorer view for easier resource discovery, a context-aware Reference panel that surfaces table schemas and lets you insert query snippets, and a decluttered layout including a dedicated Job history tab. These changes reduce context switching and tab proliferation so users can focus on analysis.

Mandiant Academy: Practical Network Enrichment Course

🛡️ Mandiant Academy and Google Cloud introduce Protecting the Perimeter: Practical Network Enrichment, a short-form training track to sharpen network traffic analysis and CTI operationalization. The curriculum covers five core methodologies—PCAP, netflow, protocol analysis, behavioral baselining, and historical review—and demonstrates how to enrich each with CTI and analytical tradecraft. It is aimed at practitioners who need focused, time-efficient skills to improve detection and investigation.

Gemini Code Assist brings AI code reviews to GitHub

🔐 Gemini Code Assist on GitHub for enterprises delivers AI-powered code reviews across GitHub Enterprise Cloud and privately hosted GitHub Enterprise Server. Organization-level controls let platform teams define a central style guide, set comment severity, and enforce baseline checks while preserving repo-level customization. Built on Google Cloud security and privacy commitments, the public preview includes higher pull-request quotas and stateless prompt handling to protect customer code.

Google Cloud Marketplace for Enterprise and AI Agents

🤖 Google Cloud Marketplace offers a vetted path for organizations to deploy, buy, or build AI agents that integrate with Gemini Enterprise, simplifying procurement and deployment. Listings are pre-validated for A2A integration and allow consolidated billing, while administrators can enforce governance using IAM and Private Marketplace controls. For partners, the Marketplace provides global reach, co-selling, and flexible monetization (subscription, usage-based, private offers, outcome-based) plus automated provisioning via Pub/Sub and the Cloud Commerce Partner Procurement API.

BigQuery Data Clean Room Query Templates — Preview

🔒 BigQuery data clean room query templates are now available in preview, enabling clean room owners to publish fixed, reusable TVF-based queries that accept table or field inputs and return only aggregated rows. Templates reduce data exfiltration risk, simplify onboarding for non-SQL users, and enforce consistent analytical and privacy controls via aggregation thresholds and approval workflows. They support single-direction and multi-party collaboration while keeping query logic hidden from subscribers.

Google Cloud Adds AI Annotations and Object Contexts

🧠 Google Cloud is introducing two Cloud Storage features—auto annotate and object contexts—that apply pretrained AI to generate metadata and attach custom key-value tags to stored objects. Auto annotate (experimental) produces image annotations such as object detection, labels, and objectionable-content signals tied to an object's lifecycle. Object contexts (preview) let teams add, manage, and query contextual tags with IAM controls and Storage Insights integration. Together they enable scalable discovery, curation, and governance of previously unanalyzed unstructured “dark data.”

Agile, Fungible Data Centers for the AI Era: Standards

🚀 Google outlines designs for agile, fungible data centers to meet explosive AI demand, advocating modular, interoperable architectures and late-binding of facility resources. It highlights Project Deschutes liquid cooling, +/-400Vdc power proposals with Mt. Diablo side-car designs, and open efforts like Caliptra 2.0 and OCP L.O.C.K.. The post calls for community standards across power, cooling, telemetry, networking, and security to improve resilience, sustainability, and operational flexibility.

Getting Started with Chaos Engineering on Google Cloud

⚙️ This post introduces the fundamentals of chaos engineering and explains why deliberately injecting controlled failures helps teams build more resilient cloud-native systems. It covers core principles — such as defining a steady-state hypothesis, limiting blast radius, replicating realistic failure modes, and automating experiments — and translates them into practical steps for experiment design, fault injection, probing, and rollback. The article recommends using Chaos Toolkit and points to Google Cloud–specific recipes to help engineers begin safely and iteratively.

Buyer’s Guide — Data Protection Platforms for Hybrid Clouds

🔒 This buyer’s guide explains why organizations need comprehensive data protection platforms for hybrid cloud environments and which capabilities to prioritize. It highlights core requirements such as data discovery and classification, layered protections (encryption, DLP, immutability), continuous monitoring, and automated recovery to address ransomware, misconfigurations, outages and compliance. The guide also surveys market trends and leading vendors to help IT teams evaluate DPaaS, cloud-native and on-premises options.

Google Cloud launches Network Security Learning Path

🔒 Google Cloud has launched a Network Security Learning Path culminating in the Designing Network Security in Google Cloud skill badge to help organizations secure dynamic cloud networks. The program covers design, build, and management of secure VPCs, GKE lockdown, NGFW rules, Cloud VPN/Interconnect, and Cloud Armor for WAF and DDoS protection. Learners validate skills through a hands-on break-fix challenge lab simulating incidents like firewall policy breaches and data exfiltration.

Google Introduces Gemini Enterprise for the Workplace

🚀 Gemini Enterprise is presented as Google’s unified, enterprise-grade AI front door that integrates advanced models, a no-code workbench, pre-built and customizable agents, secure data connectors, centralized governance, and an open partner ecosystem. The chat-first interface works across Google Workspace and Microsoft 365 and adds multimodal agents for text, image, video, and speech. Google highlights developer tooling, open agent protocols, agent monetization, and customer deployments to accelerate end-to-end workflow automation and auditable governance.

Google Skills: Centralized AI and Cloud Learning Hub

🚀 Google today launched Google Skills, a unified learning platform consolidating nearly 3,000 courses and labs from Google Cloud, Google DeepMind, Grow with Google and Google for Education. The rollout, timed with the release of Gemini Enterprise, integrates Gemini Code Assist into hands-on labs, introduces new skill badges, and adds gamified features and admin tools for organizations. A new GEAR sprint will target one million developers for agent development, and a partnership with Jack Henry creates a direct hiring pathway for U.S. certificate holders.

Cost-Saving Strategies When Migrating to Google Cloud

💡 Google Cloud presents practical strategies to lower Compute Engine and block storage costs during migration and modernization. The article recommends adopting latest-generation VMs and specialized instance families, right-sizing or using custom machine types, and tuning storage with Hyperdisk and storage pools to align capacity and performance. It also emphasizes financial levers—committed use discounts, Spot VMs, autoscaling, and recommender-driven actions—to reduce spend while preserving performance.

Vertex AI Model Garden Adds Self-Deploy Proprietary Models

🔐 Google Cloud’s Vertex AI now supports secure self-deployment of proprietary third-party models directly into customer VPCs via the Model Garden. Customers can discover, license, and deploy closed-source and restricted-license models from partners such as AI21 Labs, Mistral AI, Qodo and others, with one-click provisioning and managed inference. Deployments adhere to VPC-SC controls, selectable regions, autoscaling, and pay-as-you-go billing. This central catalog brings Google, open, and partner models together for enterprise-grade control and compliance.

Gemini CLI Brings Natural Language to PostgreSQL Workflows

🔎 The Gemini CLI extension for PostgreSQL brings natural-language queries and command-line convenience directly to database tasks. It can detect required tools (for example, pg_trgm for fuzzy search), check whether they are installed and install them automatically, and suggest performance improvements such as creating GIN or GIST indexes. The extension also generates schema-derived code snippets and supports lifecycle actions like creating instances, users, and permissions, streamlining development workflows.

Searce Accelerates Enterprise Migrations to Google Cloud

🚀 Searce, a Google Cloud Premier partner, has completed over 1,000 migrations and highlights measurable gains in reliability, cost, and performance for enterprise customers. Using GKE, GKE Autopilot, GKE Gateway Controller and Google Cloud platform services, Searce reports improvements such as 25% better reliability, 50% lower TCO, and up to 30% performance gains, with significant reductions in downtime during migrations.