Cloud Computing

The rise of AI agents is fundamentally disrupting applications and analytical systems. Generic AI platforms don’t usually have access to the context stored within enterprise databases. This is because traditional data architectures often lack context for agents across the data estate, which can lead to agents being inaccurate. They’re also prone to security gaps due

Welcome to the first Cloud CISO Perspectives for June 2026. Today, we introduce Chris Betz as the new CISO of Google Cloud. For his first Cloud CISO Perspectives, Chris shares four key lessons we learned about using AI to the defender’s advantage while building AI Threat Defense. As with all Cloud CISO Perspectives, the contents

As enterprises adopt agentic AI, they need to shift from reactive systems of intelligence to proactive systems of action to equip the agents they’re building with the context and performance they need, plus regulator-grade accountability, where every decision is explainable and auditable.  At Google Cloud Next ‘26, we discuss how our Agentic Data Cloud enables

This post is co-authored with Sathish Kumar and Christopher Chan from Samsung ecommerce. In high-traffic ecommerce, achieving real-time pricing is critical to prevent price inconsistency. Pricing inconsistency creates cart shock and erodes trust. This isn’t broken software, it’s a symptom of architectural latency that you can address using AWS Lambda Response Streaming and Amazon CloudFront

Google Threat Intelligence Group (GTIG) has identified a sophisticated campaign attributed to UNC6508, a People’s Republic of China (PRC)-nexus threat actor, targeting institutions in the North American academic, medical, and military research community. While remaining undetected for over a year, the threat actor compromised externally facing web applications, deployed bespoke malware, pivoted to sensitive internal

I have been exploring how to reclaim my software stack from NPM dependency overhead and replace my resource-intensive Node.js runtime with a compiled, single-binary Go CLI. The result of my efforts is skl, a fast tool we use for managing Agent Skills, that launches in 2ms and uses only 11MB of memory. But how exactly did