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AI agents with unrestricted web access pose significant security risks. Without Chrome enterprise policies to control browser behavior, an agent might navigate to unauthorized domains, store credentials in the browser’s password manager, or download files outside approved workflows. Organizations with internal services that use a private certificate authority (CA) face an additional barrier. Every HTTPS …

Control where your AI agents can browse with Chrome enterprise policies on Amazon Bedrock AgentCore Read More »

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 …

Build financial document processing with Pulse AI and Amazon Bedrock Read More »

Building end-to-end live streaming applications with real-time voice interaction presents several challenges: network bandwidth constraints can cause high latency and quality degradation in time-critical applications. Language barriers limit effective human-machine interaction in multilingual voice communication. Scalability and resilience require a difficult balance between performance and infrastructure costs. Cross-browser and mobile compatibility demands significant development effort, …

Build real-time voice streaming applications with Amazon Nova Sonic and WebRTC Read More »

Model Context Protocol (MCP) adoption has accelerated rapidly since its introduction in November 2024. Enterprises now manage dozens to hundreds of MCP servers—tools that extend AI agent capabilities by connecting them to external data sources and APIs. The Agent-to-Agent (A2A) Protocol followed in April 2025, enabling autonomous agents to communicate directly without human intervention. More …

Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments Read More »

When you fine-tune large language models (LLMs) with Amazon SageMaker AI while using Databricks Unity Catalog, you might face unique challenges like how to maintain strict data governance while using best-in-class machine learning (ML) services. Unity Catalog governs metadata and permissions, while the underlying data resides in Amazon Simple Storage Service (Amazon S3) when you …

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI Read More »

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 …

How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS Read More »

Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract. But how do you create schemas when you have thousands of documents and don’t know what classes exist? Doing this at scale can take substantial manual effort, making downstream …

Automate schema generation for intelligent document processing Read More »

The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs) to determine compliance obligations. As customers increasingly fine-tune LLMs for domain-specific use cases, we hear a common question: how do I know if my training job triggers new regulatory obligations? Amazon SageMaker AI provides a …

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI Read More »

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 …

Building web search-enabled agents with Strands and Exa Read More »

Today, we’re excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic’s native Claude Platform experience through their AWS account, with no separate credentials, contracts, or billing relationships required. AWS is the first cloud provider to offer access to …

Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account Read More »