Cloud Computing

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

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

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

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

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