Cloud Computing

Distributed ledger technology (DLT) emerged with Bitcoin as a censorship-resistant way to conduct payments between distrusting peers. After a period, traditional financial institutions began to explore the technology, recognizing the potential of its immutability, decentralization, and programmability to redesign financial instruments and workflows. However, a foundational issue has stalled many enterprise blockchain projects at the […]

The global real-time payments market is experiencing significant growth. According to Fortune Business Insights, the market was valued at USD 24.91 billion in 2024 and is projected to grow to USD 284.49 billion by 2032, with a CAGR of 35.4%. Similarly, Grand View Research reports that the global mobile payment market, valued at USD 88.50

Adding features to an app can be hard. One minute you’re writing code, the next you’re switching to the PostgreSQL database client to run a query, and then it’s over to the console to check on your instances. For example, let’s say you wanted to add search capabilities. This can mean adding the right extensions

For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July, we introduced a toolset to help AI agents interact with and analyze business data in BigQuery through natural language, and with just a few lines of code. Today, we’re taking the next step, with “Ask

Generative AI agents in production environments demand resilience strategies that go beyond traditional software patterns. AI agents make autonomous decisions, consume substantial computational resources, and interact with external systems in unpredictable ways. These characteristics create failure modes that conventional resilience approaches might not address. This post presents a framework for AI agent resilience risk analysis

Written by: Omar ElAhdan, Matthew McWhirt, Michael Rudden, Aswad Robinson, Bhavesh Dhake,                     Laith Al Background Protecting software-as-a-service (SaaS) platforms and applications requires a comprehensive security strategy. Drawing from analysis of UNC6040’s specific attack methodologies, this guide presents a structured defensive framework encompassing proactive hardening measures,

Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI. Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity while orchestrating tools and coordinating multiple agents to solve complex problems. It’s designed to excel