Effective AI systems operate on a foundation of context and continuous trust. When you use Dataplex Universal Catalog, Google Cloud’s unified data governance platform, the metadata that describes your data is no longer static — it’s where your AI applications can go to know where to find data and what to trust. But when you […]
Build trust and context for AI with lineage, now at column-level granularity Read More »
Editor’s note: Today we hear about SmarterX, which helps retailers, manufacturers, and logistics companies minimize regulatory risk, maximize sales, and protect consumers and the environment by giving them AI-driven tools to safely and compliantly sell, ship, store, and dispose of their products. SmarterX uses BigQuery, Gemini, and Vertex AI to collect, process, and analyze vast
SmarterX leans on Google Cloud to deliver custom LLMs for its customers Read More »
Google Axion processors, our first custom Arm®-based CPUs, mark a major step in delivering both performance and energy efficiency for Google Cloud customers and our first-party services, providing up to 65% better price-performance and up to 60% more energy-efficient than comparable instances on Google Cloud. We put Axion processors to the test: running Google production
At Google, the future is multiarch; AI and automation are helping us get there Read More »
In today’s complex threat landscape, effectively managing network security is crucial — especially across diverse environments. Organizations are looking to advanced capabilities to strengthen security, enhance threat protection, and simplify network security operations for hybrid and multicloud deployments. We’re excited to announce new capabilities in Cloud Armor, featuring more comprehensive security policies and granular network
What’s new in Cloud Armor: Innovations to boost security posture, threat protection Read More »
Effective AI systems operate on a foundation of context and continuous trust. When you use Dataplex Universal Catalog, Google Cloud’s unified data governance platform, the metadata that describes your data is no longer static — it’s where your AI applications can go to know where to find data and what to trust. But when you
Build trust and context for AI with lineage, now at column-level granularity Read More »
Written by: Alden Wahlstrom, David Mainor Introduction Google Threat Intelligence Group (GTIG) observed multiple instances of pro-Russia information operations (IO) actors promoting narratives related to the reported incursion of Russian drones into Polish airspace that occurred on Sept. 9-10, 2025. The identified IO activity, which mobilized in response to this event and the ensuing political
Pro-Russia Information Operations Leverage Russian Drone Incursions into Polish Airspace Read More »
Ryan welcomes John Dickerson, CEO of Mozilla.ai, to talk about the evolving landscape of AI agents, the role of open source in keeping the tech ecosystem healthy, the challenges OS communities have faced with the rise of AI, and the implications of data privacy and user choice in the age of multi-agent AI systems.
Open source is giving you choices with your agent systems Read More »
AI Agents are now a reality, moving beyond chatbots to understand intent, collaborate, and execute complex workflows. This leads to increased efficiency, lower costs, and improved customer and employee experiences. This is a key opportunity for System Integrator (SI) Partners to deliver Google Cloud’s advanced AI to more customers. This post details how to build,
Building scalable AI agents: Design patterns with Agent Engine on Google Cloud Read More »
The Google Cloud AI Hypercomputer combines AI-optimized hardware, leading software, and flexible consumption models to help you tackle any AI workload efficiently. Every three months we share a roundup of the latest AI Hypercomputer news, resources, events, learning opportunities, and more. Today, we’re excited to share the latest developments to make your AI journey faster,
What’s new with the AI Hypercomputer? vLLM on TPU, and more Read More »
Unlocking real value with AI in the enterprise calls for more than just intelligence. It requires a seamless, end-to-end platform where your model and operational controls are fully integrated. This is the core of our strategy at Google Cloud: combining the most powerful models with the scale and security required for production. Today, we are
