Cloud Computing

Getting started with Mantis, our open-source bug finding-and-fixing harness

AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the discovery, triage, reproduction, and patching of software vulnerabilities.  Available to all as an open-source framework, Mantis is part of Google’s internal […]

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Introducing TabFM in BigQuery: Predictive analytics reimagined

Historically, enterprise predictive analytics tasks such as predicting churn, purchase intent, or fraud scoring have meant building custom models using libraries like XGBoost, Random Forest, or Deep Neural Networks (DNNs). While effective, the traditional train-tune-deploy-retrain cycle can be complex and time-consuming. Additionally, the overhead of manual feature engineering, hyperparameter tuning, lengthy and expensive training, and

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How Blackline simplifies perimeter policy intelligence with VPC Service Controls

Establishing network-level perimeters with VPC Service Controls (VPC-SC) is a critical step that can help you protect your cloud environment against data exfiltration, compromised accounts, and insider threats. Today, Google Cloud is excited to share new policy intelligence capabilities in VPC-SC that can help drive even greater operational simplicity. With our latest release of the

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Hybrid cloud orchestration: Modernizing on-premises infrastructure management with AWS

This post demonstrates how to build a hybrid cloud orchestration solution that manages distributed on-premises infrastructure at scale using AWS serverless technologies. If you manage geographically dispersed data centers with thousands of servers that require bare-metal configuration, deployment, and ongoing lifecycle management, this solution provides centralized control while maintaining on-premises execution. Many of these environments

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Financially Motivated Threat Actor BREEZE COMET Targets Brazil

Introduction  Beginning in 2024 Mandiant investigated a string of compromises affecting Brazilian financial services, retail, and eCommerce organizations. Google Threat Intelligence Group (GTIG) tracks this activity as BREEZE COMET (formerly UNC5669), a financially motivated threat actor specializing in manipulating payment systems and banking software in Brazil to conduct fraudulent transfers. This activity overlaps with operations

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MCP went stateless: Is your AWS MCP server deployment well-architected?

On July 28, 2026, MCP published its largest revision since launch, making the protocol core stateless and bringing remote MCP servers into alignment with AWS Well-Architected Framework best practices. The initialize handshake is gone, and so is the Mcp-Session-Id header that clients had to echo on every later request. Every request now carries its own

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From weeks to minutes: The new agentic era of data pipelines

Data pipelines are the backbone of the modern enterprise, yet a barrier to entry exists for orchestrating them, making this critical capability unavailable to many data professionals. Following our announcements at Google Cloud NEXT ’26, where we introduced the Orchestration Pipelines framework, we are fundamentally changing this dynamic. To bring this powerful framework directly to

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Cloud CISO Perspectives: Tips on securing the water sector in the AI era

Welcome to the second Cloud CISO Perspectives for August 2026. Today, Chris Sistrunk and Stephanie Kiel detail the critical issues facing the water sector, and actionable steps that OT operators can take to secure their infrastructure. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If

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BigQuery Graph is now GA: the knowledge foundation for the agentic era

Many of the questions that matter in enterprise data aren’t just about individual rows — they’re about how things connect: how two accounts are linked, what path a payment took, what context grounds an AI agent’s answer. That’s what a graph is built to solve. Historically, unlocking these insights meant extracting data into standalone graph

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