Organizations that must restrict access to sensitive documents increasingly rely on AI-driven search and chat to help employees find answers across large repositories. Coarse-grained permissions that control access at the knowledge base level work well for many teams, but sensitive documents require more granular control to restrict specific documents or folders to authorized teams, individuals, …
The Gemini Live Agent Challenge is officially in the books! We challenged developers worldwide to break out of the traditional ‘text box’ paradigm by building next-generation AI agents. From our initial announcement to amassing 11,878 participants and 1,536 submitted projects from 151 countries, the results were nothing short of spectacular. The mission was to seamlessly …
Read more “Gemini Live Agent Challenge: Announcing the winners and highlights”
Improving bot accuracy in Amazon Lex starts with handling how customers communicate naturally. Your customers express the same request in dozens of different ways, combine multiple pieces of information in one sentence, and often speak ambiguously. The Assisted NLU (natural language understanding) feature in Amazon Lex helps you improve bot accuracy by handling these natural …
Read more “Improve bot accuracy with Amazon Lex Assisted NLU”
Welcome to the first Cloud CISO Perspectives for May 2026. Today, Vinod D’Souza, director, Office of the CISO, shares highlights from his RSA Conference fireside chat with Anthony Belfiore, chief strategy officer, Wiz. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this …
Read more “Cloud CISO Perspectives: How Google + Wiz changes multicloud strategy for CISOs”
I’ve been quiet since November because I’ve been building. Over the past few months, AI has moved so quickly that the barrier between an idea and a high-powered system has essentially vanished. Even as a non-developer, I’ve found that working with AI is like having a small team of A-level developers who work for $40 …
Financial institutions process thousands of complex documents daily. Optical Character Recognition (OCR) errors in financial data can propagate through interconnected calculations, affecting analytical accuracy. While a single OCR error in a standard legal document might require only a quick manual correction, the same mistake in financial data can cascade through interconnected calculations, leading to systematic …
Read more “Build financial document processing with Pulse AI and Amazon Bedrock”
Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different jurisdictions. These teams process regulatory inquiries from authorities, each presenting different requirements, document formats, and complexity levels. Processing these regulatory inquiries involves reviewing documentation, extracting relevant information, retrieving supporting data from multiple systems within Amazon’s …
Read more “How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS”
As AI coding agents become deeply embedded in developer workflows, defenders must evolve their definition of malicious files and rethink how to protect against them. Autonomous AI agents operate across integrated development environments (IDEs), editors, terminals, and extension runtimes, and they often have access to local files, command execution, and external services. As a result, …
Read more “Beyond source code: The files AI coding agents trust — and attackers exploit”
This post is co written by Ishan Goswami and Nitya Sridhar from Exa. If you are building web search-enabled AI agents for research, fact-checking, or competitive intelligence, access to current and reliable information is critical. Most general-purpose search APIs are not designed for agent workflows. They return HTML-heavy pages and short snippets optimized for human …
Read more “Building web search-enabled agents with Strands and Exa”
At Google Cloud Next ’26 we announced Cloud Storage Rapid, a family of object storage capabilities for data-intensive workloads like AI and analytics. Out of the gate, Cloud Storage Rapid consists of Rapid Bucket (formerly Rapid Storage), a high-performance zonal object storage offering, and Rapid Cache (formerly Anywhere Cache), which accelerates reads on-demand and colocates …
Read more “Cloud Storage Rapid: Turbocharged object storage for AI and analytics”