Amazon Bedrock Guardrails

2026-10-09

COMPANIES · 1 SOURCE · AWS Machine Learning

Postman runs Agent Mode for 40 million developers on Amazon Bedrock

Postman describes how its Agent Mode — an AI-native interface for API testing, documentation, discovery, and implementation — is run in production for ~40 million developers using Amazon Bedrock. The post details architectural patterns (controlling tool sprawl, schema-based reads, treating context as the bottleneck), operational choices (geographically scoped cross-Region inference, model-dependent zero-data-retention, multi-tier prompt caching), human approval before state changes, and use of Amazon Bedrock Guardrails to redact PII; it also explains narrowing >170 tools to ~15 via a vector database of tool embeddings to limit the model's tool surface.

7.0

2026-10-07

COMPANIES · 1 SOURCE · AWS Machine Learning

Qlik launches Qlik Answers on Amazon Bedrock (GA Feb 2026)

Qlik has put Qlik Answers — a grounded, enterprise-scale natural-language assistant — into general availability in February 2026 and built it on Amazon Bedrock for chat, embeddings, streaming, and reranking while using Amazon OpenSearch Service for document retrieval. The system uses a layered architecture (routing, specialist agents, conversational analytics, retrieval, and a model-access gateway with Bedrock Guardrails) and reports early adoption metrics (Discovery Agent >100,000 discoveries and widespread agent usage), with customer deployments at Bystronic, Lintech International, and TouchPoint Support Services.

7.0

2026-10-05

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore adds Evaluations to measure multi-agent helpfulness and explainability

Amazon describes Amazon Bedrock AgentCore Evaluations, a fully managed capability for assessing multi-agent system performance with built-in and custom evaluators for dimensions like helpfulness, task success, and explainability, and shows how it pairs with Bedrock Guardrails for runtime safeguards. The post includes a reference implementation using Strands Agents SDK, an orchestrator and specialized sub-agents, Bedrock runtimes, and MCP Server to demonstrate evaluation and explainability in a supply‑chain scenario.

6.0

2026-09-30

CODING · 1 SOURCE · AWS Machine Learning

AWS how-to: build a cited-answers claims assistant with Amazon Bedrock Knowledge Bases

AWS published a technical how‑to showing how to index claim documents from Amazon S3 into Amazon Bedrock Knowledge Bases and use the AgenticRetrieveStream API to answer natural‑language questions with streamed trace events, citations, and grounding checks; the walkthrough uses synthetic claim records and demonstrates scoping via metadata filters and a contextual grounding guardrail. The guide explains ingestion (parsing, chunking, embeddings, vector storage), agentic retrieval that iterates sub-queries, and streaming of answers, traces, and citations to support auditable, source-backed responses.

6.0

2026-09-30

MODELS · 1 SOURCE · AWS Machine Learning

Amazon Bedrock adds Anthropic Claude Opus 5 and Sonnet 5 with in-region inference in Seoul and Singapore

Amazon Bedrock now supports Anthropic Claude Opus 5 and Claude Sonnet 5 with in-region inference on the bedrock-runtime endpoint: both Opus 5 and Sonnet 5 are available in Seoul (ap-northeast-2), and Sonnet 5 is available in Singapore (ap-southeast-1). The release lets customers call the bedrock-runtime endpoint (InvokeModel, Converse, or Anthropic Messages API) so inference requests and data are processed and logged entirely within the specified AWS Region to help meet data residency requirements.

7.0

2026-09-23

COMPANIES · 1 SOURCE · AWS Machine Learning

HEMA builds internal assistant HAL using Model Context Protocol and Amazon Bedrock AgentCore

Dutch retailer HEMA created HAL, an internal AI assistant that consolidates fragmented internal knowledge and delivers answers inside existing tools by exposing sources as MCP tools and running agents on Amazon Bedrock AgentCore. Identity is anchored with Microsoft Entra ID, and AgentCore features (Gateway, Runtime, Memory, Guardrails) were used to avoid custom MCP server infrastructure.

5.0

2026-09-18

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS shows how to migrate multi-model Hugging Face smolagents to Amazon Bedrock AgentCore runtime

AWS published a how-to that migrates a multi-model healthcare AI agent built with Hugging Face smolagents from a self-managed Amazon ECS/Fargate deployment to the managed Amazon Bedrock AgentCore runtime. The solution preserves existing agent logic while offloading container lifecycle, scaling, identity, and observability to AgentCore and demonstrates orchestration across Llama 3.1 70B Instruct on Bedrock, BioM-ELECTRA-Large-SQuAD2 on SageMaker (and containerized), plus vector retrieval via Amazon OpenSearch Service.

6.0