The future of browser-based security: Leveraging browser data for proactive defense
Google introduces browser telemetry as a core component of enterprise security to address rising threats in AI-driven workflows and autonomous agent interactions.
SOURCE ARCHIVE · ORIGINAL LINKS INCLUDED
Google Cloud Blog coverage · page 3
Every ClipRaptor briefing sourced from Google Cloud Blog, with a direct link to the original publisher page. Page 3 of 5: briefings 61-90, published Sep 17, 2026 to Oct 01, 2026.
Cloud CISO Perspectives: How cybersecurity startups can win CISOs
Google Cloud’s CISO office advises cybersecurity startups on building trust with CISOs through tailored engagement, technical rigor, and transparency to address real-world security challenges.
Empower your agents with the Google Cloud CLI remote MCP server
Google Cloud launches a new remote MCP server in preview, enabling AI agents to securely execute gcloud and bq commands via a managed cloud sandbox, simplifying infrastructure management and BigQuery workflows.
Spanner Omni, now GA: A distributed, multi-model database that you can deploy anywhere
Google Cloud announced the general availability of Spanner Omni, a deploy-anywhere distributed multi-model database for production workloads across on-premises and multi-cloud environments.
Data Agent Kit is now GA: Bring Google Data Cloud to any coding agent
Google Cloud’s Data Agent Kit, now generally available, lets coding agents directly interact with Google Cloud data products via open tools, improving automation and reducing manual context-gathering.
Accelerating agentic RL and evaluation research velocity with 45x faster GKE Agent Sandbox
Google Cloud introduces GKE Agent Sandbox and an RL orchestration SDK to reduce idle GPU time in agentic reinforcement learning by eliminating CPU sandbox cold starts and optimizing image hydration.
Google Cloud partners deliver new security agents and AI defenses with Gemini Enterprise
Google Cloud expands partner-built security agents in Gemini Enterprise to unify AI-driven defenses across identity, network, and AI workloads, integrating tools from major vendors for streamlined threat response and...
Graph Workflows in ADK: Everything You Need to Know
Google’s ADK Workflow converts graph-based task designs into executable processes, enabling parallel execution, routing, and human review in workflows like refund processing.
Defending at machine speed: Securing the public sector in the agentic era
Google Cloud introduces Google AI Threat Defense to automate cybersecurity for public sector agencies amid AI-driven threats.
Why your startup needs open models alongside frontier APIs
Startups are shifting from single-model reliance to hybrid AI stacks, pairing frontier models with compact open models like Google’s Gemma 4 to cut costs, latency, and infrastructure overhead while maintaining...
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Google Cloud introduces a managed reinforcement learning fine-tuning service to customize proprietary Gemini models without requiring access to model internals or large training clusters.
Unlock 3x QPS and microsecond latency with Memorystore for Valkey 9.1
Google Cloud launches Memorystore for Valkey 9.1, delivering up to three times higher queries per second with microsecond latency compared to Redis Cluster, alongside new security and scanning features.
Agent Factory recap: Agent harnesses, shifting left, and autonomous coding
Google Cloud engineer Ryan Lopopolo explains how agent harnesses enable autonomous coding by providing tools and context, shifting interventions earlier in development to reduce oversight and improve reliability.
An AI-assisted plugin for EKS-to-GKE migrations with built-in governance
Google Cloud released an open-source AI-assisted plugin to automate and govern migrations from AWS EKS to GKE, replacing error-prone manual processes with structured, GitOps-native workflows and deterministic guardrails.
Scribd, Inc. classifies more than 400 million documents with Gemini batch inference on Gemini Enterprise
Scribd processed over 400 million documents using Google Cloud’s Gemini Enterprise batch inference, reducing costs and time while improving content moderation accuracy.
Power your agents: Gemini 3.8 Live with Live Avatar is now generally available
Google Cloud has made Gemini 3.8 Live with Live Avatar generally available in Gemini Enterprise, enabling interactive video agents with real-time conversational capabilities across multiple platforms.
How growing Latin American midsize businesses are building in the AI era
Latin American midsize businesses are rapidly adopting Google Cloud’s AI tools to automate workflows, enhance customer support, and modernize operations, with adoption growing up to 9x in Brazil.
How Google Cloud Networking Supports Your Fluid Compute Choices for AI Workloads
Google Cloud outlines how its networking supports AI workloads across different accelerators, enabling flexible compute choices for deployment and performance optimization.
The three things today's hottest startups are looking for in their AI stack
Google Cloud reports startups increasingly adopt its full AI stack, citing compute, model access, and security tools as decisive factors in platform choice.
A guide to speeding up your video processing with AlphaEvolve
Google introduces AlphaEvolve, an autonomous tool combining cloud-based AI with local hardware to optimize video processing code, eliminating manual tuning and reducing latency in real-time streaming pipelines.
GKE becomes more elastic: Scale to zero, save costs, and keep workloads responsive
Google Kubernetes Engine 1.37 introduces native scale-to-zero for sporadic workloads, eliminating idle costs while maintaining responsiveness through capacity buffers and direct metric integration.
Global AI routing with <1% overhead on multi-cluster GKE Inference Gateway
Google Cloud introduced a multi-cluster GKE Inference Gateway that pools globally distributed AI accelerators into a single virtual fleet, achieving near-linear throughput gains with less than 1% routing overhead and a...
Maximizing Apache Spark availability: Mitigating compute stockouts with flexible VMs and other best practices
Google’s Managed Service for Apache Spark introduces flexible VMs to mitigate compute stockouts, allowing clusters to dynamically adapt to regional capacity shortages and maintain pipeline availability.
Scale your AI workloads faster and more efficiently with GKE Pod snapshots
Google Kubernetes Engine introduces Pod snapshots to cut AI workload startup time by up to 89%, enabling faster scaling and reduced infrastructure costs.
Strengthen your CI/CD pipeline with new Secure Source Manager capabilities
Google Cloud’s Secure Source Manager now offers new capabilities to strengthen CI/CD pipelines against supply chain threats, including unauthorized access blocking and granular code ownership controls.
Announcing Native BM25 Ranking in AlloyDB and Cloud SQL
Google Cloud introduces native BM25 ranking in AlloyDB and Cloud SQL for PostgreSQL 17+, enabling hybrid search without separate full-text backends.
Accelerating the borderless Lakehouse: Announcing preview of cross-cloud caching
Google Cloud introduced cross-cloud caching in preview to accelerate multi-cloud analytics by locally caching frequently accessed data, reducing remote transfers and costs for enterprises querying distributed datasets.
Changing the game: How Google uses agentic AI to secure hundreds of millions of lines of code
Google’s AI and Infrastructure team has integrated AI-driven vulnerability scanning into its software development workflow to detect and fix security flaws in real time across hundreds of millions of lines of code.
How to upskill enterprise AI builders by using daily micro habits
Google Cloud outlines a four-pillar micro-habit approach to upskill enterprise AI developers through daily five-minute exercises and browser-based sandboxes, citing data from its Advent of Agents program.
The future of orchestration: Pine59’s journey to Airflow 3 on Google Cloud
Pine59 migrated to Google Cloud’s Managed Airflow (Gen 3) with Airflow 3 to optimize data pipelines handling millions of daily data points, improving speed, reliability, and developer workflows.