Category: Amazon Bedrock

As cloud-native environments expand, security and operations leaders face mounting pressure to reduce response times while managing growing alert volumes and team capacity. Elastic’s AI-powered features on Amazon Bedrock automate the path from detection to resolution across both security and observability workflows. Learn how conversational agents, automated workflows, and custom AI agents accelerate incident response and root cause analysis on AWS.

As AI agents take actions across systems on behalf of your users, identity and access management must sit at the center of your security strategy. In this post, we show how Auth0 for AI Agents and Amazon Bedrock AgentCore work together to authenticate users, secure agent-to-agent communication, govern tool access, and enforce fine-grained authorization. Learn how to extend your existing identity infrastructure to agentic workloads and replace fragmented security with a consistent, maintainable model.

Agentic AI represents the third major platform shift in enterprise software, transforming how SaaS is built, priced, distributed, and consumed by a hybrid workforce of humans and autonomous agents. Learn how ISVs can capture this growth opportunity by building on Amazon Bedrock AgentCore for production-ready agentic deployments, making their capabilities discoverable through open protocols such as MCP and using AWS Marketplace for outcome-based pricing models that capture the measurable value agents create.

Open-weight large language models are being released by research institutions worldwide, but turning published weights into production inference services remains a challenge—especially under strict data residency requirements. This post shows how Public AI built a scalable inference platform on Amazon EKS and Intel-powered Amazon EC2 instances to serve Switzerland’s Apertus model family, and why this architecture provides a repeatable blueprint for sovereign LLM initiatives.

Organizations accumulate thousands of hours of session recordings that satisfy compliance mandates but rarely get reviewed. Learn how Teleport and Amazon Bedrock replace manual playback with AI-powered summarization, risk classification, and SIEM-ready alerts—keeping session data within your AWS environment.

Accenture and AWS are closing the data readiness gap that stalls most enterprise AI initiatives with three new agentic AI solutions—now available in AWS Marketplace—that autonomously discover, migrate, govern, and make enterprise data consumable for generative AI and agentic applications. Built on Amazon Bedrock AgentCore and backed by 16 years of partnership experience, these solutions help organizations turn fragmented, legacy data estates into strategic assets ready for agentic AI at enterprise scale.

What if one database could handle transactions, analytics, and semantic vector search for your AI agents—all without managing separate systems? TiDB Cloud on AWS, integrated with Amazon Bedrock, delivers a unified, serverless architecture purpose-built for the demands of autonomous AI. In this post, PingCAP and AWS walk you through the reference architecture, real-world use cases, and the key design decisions to make your generative AI applications production ready using the TiDB console.

Integration complexity—not technology—remains the biggest barrier to deploying AI in supply chain operations, with custom API development consuming up to six months of engineering effort per project. Genpact’s Kinaxis MCP Server, built on Amazon Bedrock AgentCore, collapses that timeline from 12 weeks to just 3 days by replacing dozens of custom integrations with a single, secure interface powered by the Model Context Protocol standard. Learn how organizations running Kinaxis RapidResponse on AWS are achieving up to 18% improvement in forecast accuracy and 23% reduction in stockout rates—with enterprise-grade security and session isolation built in from day one.

The race to deploy AI agents is accelerating — and the organizations pulling ahead are those that build trust from day one. In this joint blog, PwC Australia and AWS deliver a practical blueprint for deploying AI agents safely at scale, answering the three critical questions your board will ask. Governance, observability, and auditability aren’t constraints on speed — they’re your competitive advantage.

Discover how Amazon Bedrock AgentCore and Temporal work together to transform experimental AI agents into mission-critical, production-grade infrastructure. Delivering enterprise durability, automatic error handling, and seamless multi-agent coordination at scale. Whether you’re managing long-running human-in-the-loop workflows or orchestrating complex financial advisory systems, this powerful combination bridges the gap between AI reasoning and reliable production systems.